The quasi-Z-source inverter (qZSI) has attracted much attention for motor drives and renewable en... more The quasi-Z-source inverter (qZSI) has attracted much attention for motor drives and renewable energy applications due to its capability to boost or buck in a single converter stage. However, this capability is associated with different challenges related to the closed loop control of currents, control the DC capacitor voltage, produce three-phase AC output current with high dynamic performance and obtain continuous and low ripple input current. This paper presents a predictive control strategy for a three-phase qZSI that fulfills these requirements without adding any additional layers of control loops. The proposed controller implements a discrete-time model of the qZSI to predict the future behavior of the circuit variables for each switching state, along with a set of multi-objective control variables all in one cost function. The quasi impedance network and the AC load are considered together when designing the controller in order to obtain stability of the impedance network with a step change in the output reference. A detailed comparative investigation between the proposed controller and the conventional PI controller is presented to prove the superiority of the proposed method over the conventional control method. Simulation and experimental results are presented.
This paper presents an analysis and the design of an off grid PV system for providing electricity... more This paper presents an analysis and the design of an off grid PV system for providing electricity for remote area. The system composed of de-de multilevel boost converter (MLBC) which is used for extracting maximum power from the cell. It has been chosen to generate three de voltages at its output terminal. In addition to, a multilevel de link inverter suitable for the generated dc bus voltages. The inverter generates 7 levels at its output terminal. A maximum power point tracking (MPPT) program is designed and simulated to extract the maximum power from the PV cell. Regulation of the ac output voltage is executed by employing constant voltage and frequency control on its output voltage. To validate the studied system, analysis, simulation, and experimental results have been provided. Where inverter switch control signals are derived using multicarrier PWM switching technique. The effect of the modulation indexes on the load voltage and on the TUD has been studied.
Model predictive control has emerged as a very
powerful method for controlling of electrical ener... more Model predictive control has emerged as a very powerful method for controlling of electrical energy. One of the major advantages for this control is the performance of the power converters become more better comparing with the traditional modulation control techniques. In this paper, a model predictive control is used to drive a three phase grid connected Quasi-Z-Source Inverter (qZSI) to improve the performance of the three phase injected output current. This technique uses a model of the qZSI and capacitor voltage, input inductor current and AC three phase output load currents to predict the behavior of the measured parameters. The resulting closed-loop system achieves high dynamic performance for all controlled parameters. The total system has been analyzed, simulated by using MATLAB/SIMULINK program then implement by using dSPACE 1103 to prove the idea.
This paper proposes a modification in the
maximum power point tracking (MPPT) by using model
pred... more This paper proposes a modification in the maximum power point tracking (MPPT) by using model predictive control (MPC). The modification scheme of the MPPT control is based on the perturb and observe algorithm (P&O). This modified control is implemented on the dc-dc multilevel boost converter (MLBC) to increase the response of the controller to extract the maximum power from the photovoltaic (PV) module and to boost a small dc voltage of it. The total system consisting of a PV model, a MLBC and the modified MPPT has been analyzed and then simulated with changing the solar radiation and the temperature. The proposed control scheme is implemented under program MA TLAB/SIMULINK and the obtained results are validated with real time simulation using dSPACE 1103 ControlDesk. The real time simulation results have been provided for principle validation.
The quasi-Z-source inverter (qZSI) has attracted much attention for motor drives and renewable en... more The quasi-Z-source inverter (qZSI) has attracted much attention for motor drives and renewable energy applications due to its capability to boost or buck in a single converter stage. However, this capability is associated with different challenges related to the closed loop control of currents, control the DC capacitor voltage, produce three-phase AC output current with high dynamic performance and obtain continuous and low ripple input current. This paper presents a predictive control strategy for a three-phase qZSI that fulfills these requirements without adding any additional layers of control loops. The proposed controller implements a discrete-time model of the qZSI to predict the future behavior of the circuit variables for each switching state, along with a set of multi-objective control variables all in one cost function. The quasi impedance network and the AC load are considered together when designing the controller in order to obtain stability of the impedance network with a step change in the output reference. A detailed comparative investigation between the proposed controller and the conventional PI controller is presented to prove the superiority of the proposed method over the conventional control method. Simulation and experimental results are presented.
This paper presents an analysis and the design of an off grid PV system for providing electricity... more This paper presents an analysis and the design of an off grid PV system for providing electricity for remote area. The system composed of de-de multilevel boost converter (MLBC) which is used for extracting maximum power from the cell. It has been chosen to generate three de voltages at its output terminal. In addition to, a multilevel de link inverter suitable for the generated dc bus voltages. The inverter generates 7 levels at its output terminal. A maximum power point tracking (MPPT) program is designed and simulated to extract the maximum power from the PV cell. Regulation of the ac output voltage is executed by employing constant voltage and frequency control on its output voltage. To validate the studied system, analysis, simulation, and experimental results have been provided. Where inverter switch control signals are derived using multicarrier PWM switching technique. The effect of the modulation indexes on the load voltage and on the TUD has been studied.
Model predictive control has emerged as a very
powerful method for controlling of electrical ener... more Model predictive control has emerged as a very powerful method for controlling of electrical energy. One of the major advantages for this control is the performance of the power converters become more better comparing with the traditional modulation control techniques. In this paper, a model predictive control is used to drive a three phase grid connected Quasi-Z-Source Inverter (qZSI) to improve the performance of the three phase injected output current. This technique uses a model of the qZSI and capacitor voltage, input inductor current and AC three phase output load currents to predict the behavior of the measured parameters. The resulting closed-loop system achieves high dynamic performance for all controlled parameters. The total system has been analyzed, simulated by using MATLAB/SIMULINK program then implement by using dSPACE 1103 to prove the idea.
This paper proposes a modification in the
maximum power point tracking (MPPT) by using model
pred... more This paper proposes a modification in the maximum power point tracking (MPPT) by using model predictive control (MPC). The modification scheme of the MPPT control is based on the perturb and observe algorithm (P&O). This modified control is implemented on the dc-dc multilevel boost converter (MLBC) to increase the response of the controller to extract the maximum power from the photovoltaic (PV) module and to boost a small dc voltage of it. The total system consisting of a PV model, a MLBC and the modified MPPT has been analyzed and then simulated with changing the solar radiation and the temperature. The proposed control scheme is implemented under program MA TLAB/SIMULINK and the obtained results are validated with real time simulation using dSPACE 1103 ControlDesk. The real time simulation results have been provided for principle validation.
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Papers by Mostafa Ahmed
In addition to, a multilevel de link inverter suitable for the generated dc bus voltages. The inverter generates 7 levels at its
output terminal. A maximum power point tracking (MPPT) program is designed and simulated to extract the maximum
power from the PV cell. Regulation of the ac output voltage is
executed by employing constant voltage and frequency control on its output voltage. To validate the studied system, analysis,
simulation, and experimental results have been provided. Where inverter switch control signals are derived using multicarrier PWM switching technique. The effect of the modulation indexes on the load voltage and on the TUD has been studied.
powerful method for controlling of electrical energy. One of the
major advantages for this control is the performance of the
power converters become more better comparing with the
traditional modulation control techniques. In this paper, a model
predictive control is used to drive a three phase grid connected
Quasi-Z-Source Inverter (qZSI) to improve the performance of
the three phase injected output current. This technique uses a
model of the qZSI and capacitor voltage, input inductor current
and AC three phase output load currents to predict the behavior
of the measured parameters. The resulting closed-loop system
achieves high dynamic performance for all controlled parameters.
The total system has been analyzed, simulated by using
MATLAB/SIMULINK program then implement by using
dSPACE 1103 to prove the idea.
maximum power point tracking (MPPT) by using model
predictive control (MPC). The modification scheme of the
MPPT control is based on the perturb and observe algorithm
(P&O). This modified control is implemented on the dc-dc
multilevel boost converter (MLBC) to increase the response of
the controller to extract the maximum power from the
photovoltaic (PV) module and to boost a small dc voltage of it.
The total system consisting of a PV model, a MLBC and the
modified MPPT has been analyzed and then simulated with
changing the solar radiation and the temperature. The
proposed control scheme is implemented under program
MA TLAB/SIMULINK and the obtained results are validated
with real time simulation using dSPACE 1103 ControlDesk.
The real time simulation results have been provided for
principle validation.
In addition to, a multilevel de link inverter suitable for the generated dc bus voltages. The inverter generates 7 levels at its
output terminal. A maximum power point tracking (MPPT) program is designed and simulated to extract the maximum
power from the PV cell. Regulation of the ac output voltage is
executed by employing constant voltage and frequency control on its output voltage. To validate the studied system, analysis,
simulation, and experimental results have been provided. Where inverter switch control signals are derived using multicarrier PWM switching technique. The effect of the modulation indexes on the load voltage and on the TUD has been studied.
powerful method for controlling of electrical energy. One of the
major advantages for this control is the performance of the
power converters become more better comparing with the
traditional modulation control techniques. In this paper, a model
predictive control is used to drive a three phase grid connected
Quasi-Z-Source Inverter (qZSI) to improve the performance of
the three phase injected output current. This technique uses a
model of the qZSI and capacitor voltage, input inductor current
and AC three phase output load currents to predict the behavior
of the measured parameters. The resulting closed-loop system
achieves high dynamic performance for all controlled parameters.
The total system has been analyzed, simulated by using
MATLAB/SIMULINK program then implement by using
dSPACE 1103 to prove the idea.
maximum power point tracking (MPPT) by using model
predictive control (MPC). The modification scheme of the
MPPT control is based on the perturb and observe algorithm
(P&O). This modified control is implemented on the dc-dc
multilevel boost converter (MLBC) to increase the response of
the controller to extract the maximum power from the
photovoltaic (PV) module and to boost a small dc voltage of it.
The total system consisting of a PV model, a MLBC and the
modified MPPT has been analyzed and then simulated with
changing the solar radiation and the temperature. The
proposed control scheme is implemented under program
MA TLAB/SIMULINK and the obtained results are validated
with real time simulation using dSPACE 1103 ControlDesk.
The real time simulation results have been provided for
principle validation.