Electrical and Computer Engineering

A set of 27 bread wheat varieties from Ethiopia was assessed for physico-chemical quality characteristics of grain under lowland. Varieties differed significantly for all the studied quality traits. Grain weight, diameter and hardness of the grain were positively associated with starch content and grain yield but negatively associated with protein content. D2 and principal component analysis grouped 27 genotypes in to four diverse genotypic clusters accounting for 89.17% of the total variation. The PC1 accounted for 46.41% of the variation with major contribution by total wet gluten, dry gluten, kernel diameter and red kernel, while PC2 accounted for 25.06% of the variation with major contribution by gluten index, kernel weight, water bound wet gluten, Zeleny index and grain yield. Based on the genetic diversity for physico- chemical characters and correlations, the appropriate varieties can be used for different food products and utilized as parents in breeding programme for improv...

Nowadays, energy is one of the most important factors needed in our world. However, some resources to obtain useful energy results are still impracticable because of the exploration cost or pollution generated using these resources, etc. The energy from flowing water and sun is the most readily available, renewable and clean source of electricity. Most of the people in Ethiopia (around 81 % of the population) live in rural areas where energy access is almost negligible. A possible reason is that these areas are far away from the national grid. Micro power electric generation is one of the most valuable answers to the question of how to offer to isolated rural communities to improve the quality of life. The aim of this paper is to analyze the viability and optimization of a micro Hydro power for rural electrification, a case study was conducted at Fantale micro hydro project sites Ethiopia, with solar energy using HOMER software. In this study the necessary data have been collected a...

Nowadays, energy is one of the most important factors needed in our world. However, some resources to obtain useful energy results are still impracticable because of the exploration cost or pollution generated using these resources, etc. The energy from flowing water and sun is the most readily available, renewable and clean source of electricity. Most of the people in Ethiopia (around 81 % of the population) live in rural areas where energy access is almost negligible. A possible reason is that these areas are far away from the national grid. Micro power electric generation is one of the most valuable answers to the question of how to offer to isolated rural communities to improve the quality of life. The aim of this paper is to analyze the viability and optimization of a micro Hydro power for rural electrification, a case study was conducted at Fantale micro hydro project sites Ethiopia, with solar energy using HOMER software. In this study the necessary data have been collected a...

In this paper, an intelligent control system technique is proposed to model and control of a nonlinear coupled three tank system. Two pumps fed the tank 1 and tank 2 and a fractional flow of these two pumps fed tank 3. The main aim of this paper is to make a set point tracking experiments of the tanks level using a nonlinear autoregressive moving average L-2 (NARMA L-2) and neural network predictive controllers. The proposed controllers are designed with the same neural network architecture and algorithm. Comparison of the system with the proposed controllers for tracking a step and random level set points for a fixed and variable flow parameter and some good results have been obtained.

Economic dispatch (ED) is an essential part of any power system network. ED is how to schedule the real power outputs from the available generators to get the minimum cost with satisfying all constraints of the network. Also it can be explained as allocating generation among the committed units with the most effective minimum way in accordance with all constraints of the system. There are many traditional methods for solving ED as the Newton-Raphson Method, Lambda-Iterative technique, Gaussian-Seidel Method, etc. All these traditional methods need the generators’ incremental fuel cost curves to be increasing linearly. But practically the input-output characteristics of a generator are highly non-linear. This causes a challenging non-convex optimization problem. Recent techniques like genetic algorithms, artificial intelligence, dynamic programming and particle swarm optimization solve nonconvex optimization problems in a powerful way and obtain a rapid and near global optimum soluti...

In this paper, the design of a low cost portable ventilator with performance analysis have been done to solve the scarcity of respiratory ventilators for COVID-19 patients. The materials used to build the system are: DC motor, rotating disc and pneumatic piston. The system input is the patient heart beat and the output is volume of air to the patient lung with adjusted breathing rate. This ventilator adjusts the breathing rate to the patient depending on his heart beat rate. The performance analysis of this system have been done using Proportional Integral Derivative (PID) and Full State Feedback H2 controllers. Comparison of the system with the proposed controllers have been done using a step change and a random change of the patient heart beat and a promising result have been analyzed successfully.

Shell tube surface condenser (STSC) is a heat exchanger system that exchange a high pressure steam into low pressure water and it is widely used in applications like textile industries and nuclear power plants. The modelling of the system has been established based on lumped parameters. In this paper, a fuzzy expert system is developed in order to improve the performance of the condenser. A pressure feedback system has been developed to analyze the effect of the condenser output temperature, circulating water flow and heat developed. An experiment has been made for the closed loop system using fuzzy tuned PI, fuzzy logic and PID controllers and a promising results have been obtained successfully.

Recent years, active suspension system has been widely used in automobiles to improve the road holding ability and the riding comfort. This article presents a new fuzzy model predictive control for a nonlinear quarter car active suspension system. A nonlinear dynamical model of active suspension is established, where the nonlinear dynamical characteristic of the spring and damper are considered. Based on the proposed fuzzy model predictive control method is presented to stabilize the displacement of the active suspension in the presence of different road profiles. Parameters of the model predictive and Fuzzy logic control laws are designed to estimate the (Bump and Sinusoidal) road profile input in the active suspension. At last, the reliability of the fuzzy model predictive control method is evaluated by the MATLAB simulation tool. Simulation result shows that the fuzzy model predictive control method obtained the satisfactory control performance for the active suspension system.

Recently, active suspension system will become important to the vehicle industries because of its advantages in improving road managing and ride comfort. This paper offers the development of mathematical modelling and design of a neural network control approach. The paper will begin with a mathematical model designing primarily based at the parameters of the active suspension system. A nonlinear three by four-way valve-piston hydraulic actuator became advanced which will make the suspension system under the active condition. Then, the model can be analyzed thru MATLAB/Simulink software program. Finally, the NARMA-L2, model reference and predictive controllers are designed for the active suspension system. The results are acquired after designing the simulation of the quarter-car nonlinear active suspension system. From the simulation end result using MATLAB/Simulink, the response of the system might be as compared between the nonlinear active suspension system with NARMA-L2, model reference and predictive controllers. Besides that, the evaluation has been made between the proposed controllers thru the characteristics of the manage objectives suspension deflection, body acceleration and body travel of the active suspension system.. As a conclusion, designing a nonlinear active suspension system with a nonlinear hydraulic actuator for quarter car model has improved the car performance by using a NARMA-L2 controller. The improvements in performance will improve road handling and ride comfort performance of the active suspension system. Index Terms-Active suspension system, NARMA-L2 controller, model reference controller, predictive controller