Electrical Electronics and ICT Faculty

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    Improving the voltage sag and voltage swell of power distribution with the integration of ultra-capacitor and dynamic voltage restorer using RBF network
    (2022) Mahider Maseresha
    Power Quality (PQ) problem is an occurrence manifested as a nonstandard voltage, current or frequency that results in a failure of end use equipment’s. The voltage sag and swell are the most frequent PQ problems that mainly occur in the distribution systems that causes for frequent tripping of circuit breaker, failure of drive systems, shutdown for domestic and industrial equipment. The Dynamic Voltage Restorer (DVR) connected in series has magnificent dynamic capabilities and is a flexible solution for PQ problems. Ultra Capacitors/UCAP has ideal characteristics such as high power and low energy density essential for improving the voltage sag and swell. In this thesis, voltage sag and voltage swell problem are improved by using the method of integration of Ultra Capacitor and Dynamic Voltage Restorer device and Radial Basis Function network.
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    Design Of Active Control System Using Aco Based Pid Controller For Civil Structure Under Seismic Excitation
    (2023) Getachew Lerebo
    The point of this research work is to develop structural control under seismic excitation. The background of this control mechanism is discussed in introduction part. In the second part, the reviews of literatures are discussed with their limitation and the third part includes the modeling of the civil building (2floor) structure to control, active control system with feedback mechanism has been developed. This feedback mechanism, PID controller with active mass damper is discussed with their designed specification and modeling. Active mass damper system and PID controller were designed for mitigating vibrations along the civil structure due to wind and earthquake. ACO and PSO algorithm are developed for tuning PID parameters. ACO based PID control mechanism has better performance and fast response. The sensor with dual properties has developed for vibration motion of the structure, this sensor is called piezoelectric sensor. Which can work with inverse operation and direct operation, in this thesis work direct operation or sensor operation was considered to sense vibration of the structure under earthquake. And 0.085ac voltage was produced. In spite of the ac output produced by piezoelectric element, rectifier is placed at the output side of the piezo element to convert ac to dc. And produced Dc voltage is low; boost converter is applied to step up this voltage and produces 11.18 Vdc. Dc motor as actuator was designed and produced mechanical force to apply in to active mass damper which is modelled in side of the civil structure. Actuator force produced is 1.9 ∗ 10−3N and disturbance force is −2.7 ∗ 10−5N.
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    Design Of Active Control System Using Aco Based Pid Controller For Civil Structure Under Seismic Excitation.
    (2023) Getachew Lerebo
    The point of this research work is to develop structural control under seismic excitation. The background of this control mechanism is discussed in introduction part. In the second part, the reviews of literatures are discussed with their limitation and the third part includes the modeling of the civil building (2floor) structure to control, active control system with feedback mechanism has been developed. This feedback mechanism, PID controller with active mass damper is discussed with their designed specification and modeling. Active mass damper system and PID controller were designed for mitigating vibrations along the civil structure due to wind and earthquake. ACO and PSO algorithm are developed for tuning PID parameters. ACO based PID control mechanism has better performance and fast response. The sensor with dual properties has developed for vibration motion of the structure, this sensor is called piezoelectric sensor. Which can work with inverse operation and direct operation, in this thesis work direct operation or sensor operation was considered to sense vibration of the structure under earthquake. And 0.085ac voltage was produced. In spite of the ac output produced by piezoelectric element, rectifier is placed at the output side of the piezo element to convert ac to dc. And produced Dc voltage is low; boost converter is applied to step up this voltage and produces 11.18 Vdc. Dc motor as actuator was designed and produced mechanical force to apply in to active mass damper which is modelled in side of the civil structure. Actuator force produced is 1.9 ∗ 10−3N and disturbance force is −2.7 ∗ 10−5N
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    Model Development based on Demographic and Psychographic factor to improve performance in case of TVET using Machine Learning
    (2023) Habtom Atsebeha Berhe
    TVET is important for the growth of human resources and, consequently, for the advancement and prosperity of a community. In this thesis, the factors that significantly affect TVET students' academic achievement and performance were modeled. The academic performance of TVET students has been found to be significantly influenced by a number of factors, including gender, age, monthly family income, study hours, stimulant use during the course of the study, and satisfaction with the area of study placement. According to this study, lower academic accomplishment was associated with a variety of factors, including having a negative opinion of TVET, being female, having a low family income, studying for a shorter amount of time, using stimulants while studying, and not being content with one's field of study.
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    Improved Enset Disease Detection with Image Processing and Convolutional neural network
    (2022) Tewokel Asrat
    Enset (Ensete ventricosum Cheesman) is a perennial and herbaceous plant which widely distributed and cultivated in southern and southwestern Ethiopia as staple food for more than 20 million people in mixed subsistence farming systems. There are several diseases which tries to decline the yield with quality. However bacterial wilt and mealybug diseases of Enset are widespread in the country‟s major Enset growing regions causing losses of up to 100% destruction of farm fields in extreme cases. This paper looks into the use of deep learning to detect bacterial wilt disease and Enset mealybug, where data is obtained in small amounts and collected under minimally controlled conditions. Data augmentation is employed to get over the limits of the dataset size
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    Classification Of Malt Barley Seed Using Ensemble Deep Learning Technique
    (2023) Dessie Abebe
    The primary step in making beer is selecting the malt barley. Every malt house requires that the types of grain be checked before being purchased. Varietal uniformity is essential for the manufacture of high-quality malt. It is challenging to distinguish between different types of malt barley during inspection since it calls for training and experience. To tackle varietal selection difficulties Malt industries have employed and trained experts; even though, those experts do not work effectively due to tiredness, bias, and other factors. Therefore, many researchers are motivated to the development of classification model based on image processing to support experts across the world. Using digital image processing algorithms based on combined morphological, texture, and color features have been investigated to classify different varieties of Ethiopian malt barley.
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    Detection and Classification of Skin Cancer Using Image Processing and Deep Learning
    (2023) Degarege Amare Demessie
    Skin cancer is one of the most serious malignancies today, and it kills so many individuals all over the world. It develops in the skin tissue and can harm nearby tissues, result in disability, or even result in death. Furthermore, in today‟s technologically advanced world, it is crucial that machines, not people to fix the issue. One of the finest approaches to address the issues with skin cancer is deep learning. A recent topic of research in contemporary technology that makes use of large data, virtual and augmented reality, and micro services is deep learning
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    Design And Analysis Of Bio-Inspired Control Techniques For Energy Flow In A Smart Grid
    (2022) Bereket Getahun
    The smart grid concept is critical in order to use renewable energy efficiently, which necessitates the integration of renewable energy sources. Rising electricity demand has increased efforts to generate and meet rising demand. As a result, suppliers attempted to reduce consumption with the help of users. Requests to move unnecessary loads outside of peak hours use other generators to supply the grid, and provide incentives to users have all had a significant impact. Automated Home Energy Management System use load scheduling techniques to control house appliances in response to Demand Responce signals. This thesis introduces HEMS, which automatically schedules appliances throughout the house to save money. Thermal loads are prioritized by controllers because they have the greatest impact on the electricity bill. They do, however, take into account many factors that similar models do not, such as the physical properties of the room/medium, the outside temperatures, the comfort levels of the users, and the occupancy of the house.
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    Simulation of Motion Control Differential Drive Mobile Robots Using Global Terminal Sliding Mode Controller.
    (2022) Bahiru Befekadu
    The primary goal of this study was to model and design a global fast terminal sliding mode control with quick reaching strategy for a two-wheeled mobile robots, specifically for differential drive mobile robot. In this thesis, an approach of dynamics modeling of DDMR using Langrage and GFTSMCQR trajectory tracking of DDMR is proposed. The proposed controller is a cascaded system such that designed to improve the dynamic response of the system i.e. fast convergence and high precision control system, asymptotical convergence, and chattering phenomena using GFTSMCQR. To render an asymptotical merging of the response to desired states and decrease the chattering in a traditional SMC system, a quick reaching law is proposed for DDMR, which makes the DDMR system have a fast approaching rate without chattering due switching functions. Moreover, an improved GFT sliding surface is proposed for the DDMR, makes DDMR translational and rotational system to attain equilibrium points in a finite time along the GFT sliding surface with an increased approaching rate and high precision control system.
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    Optimal Sliding Mode Controller for Position Tracking of Magnetic Levitation System
    (2022) Siraj Tura Gutole
    In thesis report nonlinear adaptive particle swarm optimization-based gain optimization of sliding mode control system presented under matching model uncertainty and random Gaussian external disturbances. First, a third-order dynamic nonlinear model was created, which includes mechanical (ball position and velocity) and electrical (the current) subsystems with uncertainty in the system parameter and loading mass. Secondly, sliding mode control system for position control system under both matched model uncertainty (internal) and external Gaussian disturbances designed for magnetic levitation position tracking system. Then, Optimal gain of sliding mode control system allocated in such way that integral square error fitness function is minimal under both matching model uncertainty and external disturbances using adaptive particle swarm optimization technique.