This paper focuses on the stability study of power system integrated with wind energy conversion ... more This paper focuses on the stability study of power system integrated with wind energy conversion system (WECS) under various operating conditions. Being a stochastic variation in the input wind speed, WECS affects the stability of the power system. Hence, a hybrid proportional-integral-derivative plus fuzzy logic controller (hPID plus FLC)-based power system stabilizer (PSS) is adopted for improving the stability in single machine infinite bus (SMIB) power system under different operating conditions. The parameters of the proposed hPID plus FLC are optimized using dolphin echolocation optimization (DEO) technique. Several investigations are carried out for assessing the superiority of the proposed technique. It is evident from the graphical as well as the quantitative comparative results using integral of time multiplied absolute error (ITAE), maximum overshoot and the settling time that the proposed DEO tuned hPID plus FLC gives much better performance over GWO and PSO tuned hPID p...
ECG is the electrical waveform of heart activity. It contains much information on heart disease. ... more ECG is the electrical waveform of heart activity. It contains much information on heart disease. It is very important to diagnosis the heart disease as soon as possible otherwise it can be harmful to patient. This paper presents to classify ECG signal using learning vector quantisation and back propagation neural network and feature of ECG (morphology and frequency domain) features. In this paper, the 45 ECG signals from MIT-BIH arrhythmia database are used to classify in to two classes, one is normal and another one is abnormal using above mentioned classifier. Out of 45 signals 25 are normal and 20 are abnormal according to MIT-BIH. Twenty-eight morphological features and four frequency domain features are set as an input to the classifier. The performance of classifier measures in the terms of sensitivity (SE), positive predictivity (PP) and specificity (SP). The system performance is achieved with 82.35% accuracy using LVQ and 94.11% using BPN.
In last two decades, the death rate of heart attack is highest. Most of time delay in detection o... more In last two decades, the death rate of heart attack is highest. Most of time delay in detection of diseases is main cause of death. ECG is the main source to detect the heart-related diseases. In this paper, we take some morphological features of ECG for classification. Before classification, genetic algorithm is used to select features for classifier. After that, deep neural network is used for classification. Finally we get 97.20% specificity, 98.12% sensitivity, and 98.21% accuracy of proposed method.
Doubly Fed Induction Generator (DFIG) finds wide applications in wind energy that keeps on changi... more Doubly Fed Induction Generator (DFIG) finds wide applications in wind energy that keeps on changing. Also, Small disturbances refer to transients; can be modeled as the change in load to DFIG system occurs more frequently. Therefore understanding the transient operation of DFIG became very much interesting and challenging. This is desired that the system should able to digest such disturbances. In this connection, this paper presents the transient modeling of DFIG for which speed controller and power factor controller are implemented to rotor in order to take care of such disturbances. This paper also presents the transient modeling of two DFIGs connected to the power system. The operation of two DFIGs connected to power system is analyzed and addressed.
Thammasat International Journal of Science and Technology, 2010
The increasing wide spread use of wind generation on the power networks imposes the requirement t... more The increasing wide spread use of wind generation on the power networks imposes the requirement that the wind farms should be able to contribute to the network support and operation as do conventional thermal generation stations based on synchronous generators. In this connection, this paper proposed a test system consisting of 120 KV grid connected to a thermal plant and three Doubly-Fed Induction Generator (DFIG) - based wind farms. The modeling of the system is implemented on MATLAB/SIMULINK platform. An efficient pi controller scheme is used for the DFIG system for maintaining the desired active power and reactive power. The responses of the total system under healthy and faulty conditions are addressed. The obtained results are presented to exhibit the effectiveness of the controller and validate the performance of the grid interconnected test system.
This paper addresses the vector-controlled induction motor drives using Robust Structure Theory (... more This paper addresses the vector-controlled induction motor drives using Robust Structure Theory (RST) intelligent controller. The RST controller is one of the robust cum intelligent controllers which can replace the conventional PI controller in near future. Because the performance of conventional PI controller is satisfactory in terms of accurate tracking only but its performance degrades when the machine parameters changes and sudden disturbances occur. Since the changes in machine parameters and the disturbances are inevitable so the replacement is needed. Hence the use of robust-intelligent controller now a day is encouraged. The implementation of this controllers, i.e., RST in vector-controlled induction motor drives is a novel approach meeting the all objectives such as accurate tracking, insensitiveness to the parameter variations and disturbances adaption. The performance of the proposed controller is proved better by comparing with PI controller using MATLAB/SIMULINK.
The large penetration of wind energy intends to increase the capacity of Doubly-Fed Induction Gen... more The large penetration of wind energy intends to increase the capacity of Doubly-Fed Induction Generator (DFIG) wind turbine across the globe. In this paper, a control law is synthesized in order to control the power flow between the stator of DFIG and power system network. The control law is synthesized using three controllers; PI, IMC and RST. The designs of the controllers are presented. The performances of the respective controllers are compared in terms of power tracking, disturbance rejections and robustness against parameter variations.
Abstract Articulated manipulators constitute a major fraction of industrial robots. With the incr... more Abstract Articulated manipulators constitute a major fraction of industrial robots. With the increase in the need to perform complex tasks requiring a higher degree of accuracy, such manipulators require a more robust and efficient control. In this paper, an evolving Fuzzy-PID control design for the trajectory tracking problem of a redundant 7-DOF serial manipulator is proposed. The scaling factors of the Fuzzy controller are evolved over time by using recent meta-heuristic techniques, namely, Moth-Flame Optimisation (MFO), Novel Bat Algorithm (NBA) and Sine Cosine Algorithm (SCA). The proposed technique which utilizes Intelligent control methods combined with meta-heuristics provides a promising hybrid control design, which has been found to be more efficient in our software implementation, in terms of reduced tracking error of the manipulator for its kinematic control in the joint space as compared to other controllers of the same nature that are generally used in practise. The performance of the controller is compared in the time-domain responses under external disturbances and have been found to outperform standard controllers without the need of any additional training.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
The perturb and observe and an incremental conductance methods are most widely used for maximum p... more The perturb and observe and an incremental conductance methods are most widely used for maximum power point tracking (MPPT) for solar photovoltaic system. However, it suffers from loss of tracking due to dynamic weather conditions and steady-state oscillations near the maximum power point (MPP). This paper proposes a novel centroid analogy-based MPPT, where centroid analogy (CA) is hybridized with the hill climbing (HC) algorithm (CAHC). The CAHC algorithm reduces the response time, oscillations and the effects of changing insolation. The proposed technique is based on the conventional algorithm, but it has a different approach towards the goal of reaching the MPP. It is based on using CA as a method to reach the new point on the P–V curve. This CA technique reduces the number of steps taken to reach MPP considerably. The proposed method is tested on MATLAB simulation platform, as well as validated on the hardware prototype. The obtained results are compared with state-of-the-art techniques, which show the superiority and meet the objectives to develop the CAHC MPPT algorithm.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
This paper presents the frequency control scheme for a hybrid isolated power system with type-2 f... more This paper presents the frequency control scheme for a hybrid isolated power system with type-2 fuzzy logic PID controller. The proposed system consists of two topologies with different generation sources. The first topology consists of a wind turbine generator (WTG) with a diesel engine generator (DEG). The second one consists of a (PV) and micro-hydropower system (MHP) with a DEG. This paper proposes a novel control approach for utilizing a polymer electrolyte membrane fuel cell (PEMFC) as an energy storage system to avoid frequency deviation. Electrolyzer of PEMFC absorbs a part of the generated energy from WTG/PV–MHP to generate fuel (hydrogen) for the fuel cell requirement. A comparative evaluation of frequency deviation for proposed hybrid system applying both control techniques is studied. The simulation results reflect the improvement in frequency error for the hybrid system with type-2 fuzzy PI plus D controller as compared to fuzzy PI plus D and PID controller. Performance index parameters of the transient response characteristics are also improved by using the proposed control approach.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Abstract In this paper, the application of moth-flame optimization (MFO) algorithm for the optima... more Abstract In this paper, the application of moth-flame optimization (MFO) algorithm for the optimal control of an active magnetic bearing (AMB) system is studied. Active magnetic bearings are known to be highly nonlinear multivariable systems. An AMB system is used in motors, generators, turbines and various other machineries in different industries to provide an active suspension to the rotor shafts. The comparison of controlled responses of various closed-loop systems resulting from the use of conventional proportional–integral–derivative (PID) and fuzzy logic-based intelligent control strategies is discussed. The heuristic MFO algorithm is applied to optimize the scaling factors of the fuzzy-PID controller. The proposed controller performance is superior as compared to the very famous industrial PID and fuzzy-PID controllers with respect to various time response parameters. A comparative study with other heuristic algorithms such as PSO and SA is also performed. Three performance indices, namely integral square error, integral time absolute of error (ITAE) and integral time absolute of error plus Integral time absolute of control action (ITAE + ITAU), are chosen for designing the optimization problem.
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
The capacitive switching is frequently encountered in power systems for improving the voltage reg... more The capacitive switching is frequently encountered in power systems for improving the voltage regulation profile. But, it requires special attention due to an accumulation of electrical charge. This accumulated charge after current interruption can cause a dielectric re-ignition in the switching device such as circuit breaker. When this process repeats, the interruption of capacitive currents causes overvoltage across the breaker. This transient across the switching device will be further intensified if appropriate preventive measures are not taken. Usually the resistance switching is employed to prevent the dielectric re-ignition. In this paper, a simple novel tracking control technique is proposed to prevent the transients/dielectric re-ignition of switching device. The proposed technique is compared with the conventional resistance switching for the validation. This paper also presents the selection criteria of resistors which will be very much useful for the practicing engineers.
2016 International Conference on Computing, Communication and Automation (ICCCA), 2016
In this paper an attempt has been made to control the frequency of stand-alone hybrid power syste... more In this paper an attempt has been made to control the frequency of stand-alone hybrid power system with a simple fuzzy logic control technique which can be used to fulfill the load demand at remote areas. This hybrid system consists photovoltaic (PV) system, diesel engine generator (DEG) and micro hydro power system. The model of fuel cell system is introduced as an energy storing element to improve frequency deviation due to mismatch between power generation and load demand. The proposed methodology is simulated in MATLAB and tested for 24 hours load conditions. A comparative evaluation of frequency deviation for proposed hybrid system in presence of both control techniques reflects the improvement in frequency variation in the presence of fuzzy controller as compared to PID controller.
2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall), 2016
Heart failure is a multi-faceted syndrome with diverse etiologies. Cognition of the movement can ... more Heart failure is a multi-faceted syndrome with diverse etiologies. Cognition of the movement can be crucial to therapy. The overall occurrence of heart failure is likely to increase in the future because of both an aging population and remedial advances in the supervision of acute myocardial infarction important to improved survival in patients with impaired cardiac function. ECG is the major source for diagnosis the congestive heart failure. In this paper the some morphological features of ECG are extracted from healthy and heart failure persons to find out the changes in features. 10 healthy ECG and 10 cardiomyopathy effected ECG are included in this study. The features are extracted from these ECGs signals. The hypothesis test is used in these ECGs features to compare normal and heart failure ECGs. The result of this method shows that the morphological changes are strongly significant in the ECG of CHF (Congestive Heart failure).
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
Modern motor control drives start increasing the use of various optimization techniques to tune t... more Modern motor control drives start increasing the use of various optimization techniques to tune the controller because of its accuracy and simplicity. Usually, the classical controllers used in motor control drives are not adaptable to the changes such as parameter variation, voltage unbalances, changes in load etc. So, online control should be encouraged in order to make the system robust. In this connection, this paper presents online vector control of induction motor using Particle Swarm Optimization (PSO) techniques. The PI controller used in speed control loop is tuned using PSO. The results obtained in offline and online modes are compared and validated using MATLAB. The computational steps to implement PSO in Online Vector Controlled Induction Motor Drives are lucidly presented.
This paper focuses on the stability study of power system integrated with wind energy conversion ... more This paper focuses on the stability study of power system integrated with wind energy conversion system (WECS) under various operating conditions. Being a stochastic variation in the input wind speed, WECS affects the stability of the power system. Hence, a hybrid proportional-integral-derivative plus fuzzy logic controller (hPID plus FLC)-based power system stabilizer (PSS) is adopted for improving the stability in single machine infinite bus (SMIB) power system under different operating conditions. The parameters of the proposed hPID plus FLC are optimized using dolphin echolocation optimization (DEO) technique. Several investigations are carried out for assessing the superiority of the proposed technique. It is evident from the graphical as well as the quantitative comparative results using integral of time multiplied absolute error (ITAE), maximum overshoot and the settling time that the proposed DEO tuned hPID plus FLC gives much better performance over GWO and PSO tuned hPID p...
ECG is the electrical waveform of heart activity. It contains much information on heart disease. ... more ECG is the electrical waveform of heart activity. It contains much information on heart disease. It is very important to diagnosis the heart disease as soon as possible otherwise it can be harmful to patient. This paper presents to classify ECG signal using learning vector quantisation and back propagation neural network and feature of ECG (morphology and frequency domain) features. In this paper, the 45 ECG signals from MIT-BIH arrhythmia database are used to classify in to two classes, one is normal and another one is abnormal using above mentioned classifier. Out of 45 signals 25 are normal and 20 are abnormal according to MIT-BIH. Twenty-eight morphological features and four frequency domain features are set as an input to the classifier. The performance of classifier measures in the terms of sensitivity (SE), positive predictivity (PP) and specificity (SP). The system performance is achieved with 82.35% accuracy using LVQ and 94.11% using BPN.
In last two decades, the death rate of heart attack is highest. Most of time delay in detection o... more In last two decades, the death rate of heart attack is highest. Most of time delay in detection of diseases is main cause of death. ECG is the main source to detect the heart-related diseases. In this paper, we take some morphological features of ECG for classification. Before classification, genetic algorithm is used to select features for classifier. After that, deep neural network is used for classification. Finally we get 97.20% specificity, 98.12% sensitivity, and 98.21% accuracy of proposed method.
Doubly Fed Induction Generator (DFIG) finds wide applications in wind energy that keeps on changi... more Doubly Fed Induction Generator (DFIG) finds wide applications in wind energy that keeps on changing. Also, Small disturbances refer to transients; can be modeled as the change in load to DFIG system occurs more frequently. Therefore understanding the transient operation of DFIG became very much interesting and challenging. This is desired that the system should able to digest such disturbances. In this connection, this paper presents the transient modeling of DFIG for which speed controller and power factor controller are implemented to rotor in order to take care of such disturbances. This paper also presents the transient modeling of two DFIGs connected to the power system. The operation of two DFIGs connected to power system is analyzed and addressed.
Thammasat International Journal of Science and Technology, 2010
The increasing wide spread use of wind generation on the power networks imposes the requirement t... more The increasing wide spread use of wind generation on the power networks imposes the requirement that the wind farms should be able to contribute to the network support and operation as do conventional thermal generation stations based on synchronous generators. In this connection, this paper proposed a test system consisting of 120 KV grid connected to a thermal plant and three Doubly-Fed Induction Generator (DFIG) - based wind farms. The modeling of the system is implemented on MATLAB/SIMULINK platform. An efficient pi controller scheme is used for the DFIG system for maintaining the desired active power and reactive power. The responses of the total system under healthy and faulty conditions are addressed. The obtained results are presented to exhibit the effectiveness of the controller and validate the performance of the grid interconnected test system.
This paper addresses the vector-controlled induction motor drives using Robust Structure Theory (... more This paper addresses the vector-controlled induction motor drives using Robust Structure Theory (RST) intelligent controller. The RST controller is one of the robust cum intelligent controllers which can replace the conventional PI controller in near future. Because the performance of conventional PI controller is satisfactory in terms of accurate tracking only but its performance degrades when the machine parameters changes and sudden disturbances occur. Since the changes in machine parameters and the disturbances are inevitable so the replacement is needed. Hence the use of robust-intelligent controller now a day is encouraged. The implementation of this controllers, i.e., RST in vector-controlled induction motor drives is a novel approach meeting the all objectives such as accurate tracking, insensitiveness to the parameter variations and disturbances adaption. The performance of the proposed controller is proved better by comparing with PI controller using MATLAB/SIMULINK.
The large penetration of wind energy intends to increase the capacity of Doubly-Fed Induction Gen... more The large penetration of wind energy intends to increase the capacity of Doubly-Fed Induction Generator (DFIG) wind turbine across the globe. In this paper, a control law is synthesized in order to control the power flow between the stator of DFIG and power system network. The control law is synthesized using three controllers; PI, IMC and RST. The designs of the controllers are presented. The performances of the respective controllers are compared in terms of power tracking, disturbance rejections and robustness against parameter variations.
Abstract Articulated manipulators constitute a major fraction of industrial robots. With the incr... more Abstract Articulated manipulators constitute a major fraction of industrial robots. With the increase in the need to perform complex tasks requiring a higher degree of accuracy, such manipulators require a more robust and efficient control. In this paper, an evolving Fuzzy-PID control design for the trajectory tracking problem of a redundant 7-DOF serial manipulator is proposed. The scaling factors of the Fuzzy controller are evolved over time by using recent meta-heuristic techniques, namely, Moth-Flame Optimisation (MFO), Novel Bat Algorithm (NBA) and Sine Cosine Algorithm (SCA). The proposed technique which utilizes Intelligent control methods combined with meta-heuristics provides a promising hybrid control design, which has been found to be more efficient in our software implementation, in terms of reduced tracking error of the manipulator for its kinematic control in the joint space as compared to other controllers of the same nature that are generally used in practise. The performance of the controller is compared in the time-domain responses under external disturbances and have been found to outperform standard controllers without the need of any additional training.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
The perturb and observe and an incremental conductance methods are most widely used for maximum p... more The perturb and observe and an incremental conductance methods are most widely used for maximum power point tracking (MPPT) for solar photovoltaic system. However, it suffers from loss of tracking due to dynamic weather conditions and steady-state oscillations near the maximum power point (MPP). This paper proposes a novel centroid analogy-based MPPT, where centroid analogy (CA) is hybridized with the hill climbing (HC) algorithm (CAHC). The CAHC algorithm reduces the response time, oscillations and the effects of changing insolation. The proposed technique is based on the conventional algorithm, but it has a different approach towards the goal of reaching the MPP. It is based on using CA as a method to reach the new point on the P–V curve. This CA technique reduces the number of steps taken to reach MPP considerably. The proposed method is tested on MATLAB simulation platform, as well as validated on the hardware prototype. The obtained results are compared with state-of-the-art techniques, which show the superiority and meet the objectives to develop the CAHC MPPT algorithm.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
This paper presents the frequency control scheme for a hybrid isolated power system with type-2 f... more This paper presents the frequency control scheme for a hybrid isolated power system with type-2 fuzzy logic PID controller. The proposed system consists of two topologies with different generation sources. The first topology consists of a wind turbine generator (WTG) with a diesel engine generator (DEG). The second one consists of a (PV) and micro-hydropower system (MHP) with a DEG. This paper proposes a novel control approach for utilizing a polymer electrolyte membrane fuel cell (PEMFC) as an energy storage system to avoid frequency deviation. Electrolyzer of PEMFC absorbs a part of the generated energy from WTG/PV–MHP to generate fuel (hydrogen) for the fuel cell requirement. A comparative evaluation of frequency deviation for proposed hybrid system applying both control techniques is studied. The simulation results reflect the improvement in frequency error for the hybrid system with type-2 fuzzy PI plus D controller as compared to fuzzy PI plus D and PID controller. Performance index parameters of the transient response characteristics are also improved by using the proposed control approach.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Abstract In this paper, the application of moth-flame optimization (MFO) algorithm for the optima... more Abstract In this paper, the application of moth-flame optimization (MFO) algorithm for the optimal control of an active magnetic bearing (AMB) system is studied. Active magnetic bearings are known to be highly nonlinear multivariable systems. An AMB system is used in motors, generators, turbines and various other machineries in different industries to provide an active suspension to the rotor shafts. The comparison of controlled responses of various closed-loop systems resulting from the use of conventional proportional–integral–derivative (PID) and fuzzy logic-based intelligent control strategies is discussed. The heuristic MFO algorithm is applied to optimize the scaling factors of the fuzzy-PID controller. The proposed controller performance is superior as compared to the very famous industrial PID and fuzzy-PID controllers with respect to various time response parameters. A comparative study with other heuristic algorithms such as PSO and SA is also performed. Three performance indices, namely integral square error, integral time absolute of error (ITAE) and integral time absolute of error plus Integral time absolute of control action (ITAE + ITAU), are chosen for designing the optimization problem.
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
The capacitive switching is frequently encountered in power systems for improving the voltage reg... more The capacitive switching is frequently encountered in power systems for improving the voltage regulation profile. But, it requires special attention due to an accumulation of electrical charge. This accumulated charge after current interruption can cause a dielectric re-ignition in the switching device such as circuit breaker. When this process repeats, the interruption of capacitive currents causes overvoltage across the breaker. This transient across the switching device will be further intensified if appropriate preventive measures are not taken. Usually the resistance switching is employed to prevent the dielectric re-ignition. In this paper, a simple novel tracking control technique is proposed to prevent the transients/dielectric re-ignition of switching device. The proposed technique is compared with the conventional resistance switching for the validation. This paper also presents the selection criteria of resistors which will be very much useful for the practicing engineers.
2016 International Conference on Computing, Communication and Automation (ICCCA), 2016
In this paper an attempt has been made to control the frequency of stand-alone hybrid power syste... more In this paper an attempt has been made to control the frequency of stand-alone hybrid power system with a simple fuzzy logic control technique which can be used to fulfill the load demand at remote areas. This hybrid system consists photovoltaic (PV) system, diesel engine generator (DEG) and micro hydro power system. The model of fuel cell system is introduced as an energy storing element to improve frequency deviation due to mismatch between power generation and load demand. The proposed methodology is simulated in MATLAB and tested for 24 hours load conditions. A comparative evaluation of frequency deviation for proposed hybrid system in presence of both control techniques reflects the improvement in frequency variation in the presence of fuzzy controller as compared to PID controller.
2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall), 2016
Heart failure is a multi-faceted syndrome with diverse etiologies. Cognition of the movement can ... more Heart failure is a multi-faceted syndrome with diverse etiologies. Cognition of the movement can be crucial to therapy. The overall occurrence of heart failure is likely to increase in the future because of both an aging population and remedial advances in the supervision of acute myocardial infarction important to improved survival in patients with impaired cardiac function. ECG is the major source for diagnosis the congestive heart failure. In this paper the some morphological features of ECG are extracted from healthy and heart failure persons to find out the changes in features. 10 healthy ECG and 10 cardiomyopathy effected ECG are included in this study. The features are extracted from these ECGs signals. The hypothesis test is used in these ECGs features to compare normal and heart failure ECGs. The result of this method shows that the morphological changes are strongly significant in the ECG of CHF (Congestive Heart failure).
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
Modern motor control drives start increasing the use of various optimization techniques to tune t... more Modern motor control drives start increasing the use of various optimization techniques to tune the controller because of its accuracy and simplicity. Usually, the classical controllers used in motor control drives are not adaptable to the changes such as parameter variation, voltage unbalances, changes in load etc. So, online control should be encouraged in order to make the system robust. In this connection, this paper presents online vector control of induction motor using Particle Swarm Optimization (PSO) techniques. The PI controller used in speed control loop is tuned using PSO. The results obtained in offline and online modes are compared and validated using MATLAB. The computational steps to implement PSO in Online Vector Controlled Induction Motor Drives are lucidly presented.
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