Electrical Electronics

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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.
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    Tuning of improved form of PID controller for time delayed unstable processes using PSO and PSOGSA optimization algorithm
    (2022) Jemal Habib
    Time delayed and unstable processes are frequently encountered in industrial and chemical plants, such as heating boilers, liquid storing tanks and batch chemical reactors. Many different approaches have been developed to control such processes. A number of systems utilize proportional–integral (PI) or proportional–integral–derivative (PID) controller methods based on the classical unity feedback closed loop structure for time delayed unstable processes. But those are sometimes not acceptable in cases unstable system. To avoid this problem, the form of PSO (particle swarm optimization) and PSOGSA (particle swarm gravities) Algorithm based I-PD controller is applied for the control of Time delayed unstable processes. In this work the Integral Square Time Error (ISTE) is considered as an objective function for the optimization problem.
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    Technical And Vocational Training Institute (Tvti) Faculty Of Electrical And Electronics Technology And Information And Communication Technology (Department Of Electrical And Electronics
    (2022) Jemal Habib
    Time delayed and unstable processes are frequently encountered in industrial and chemical plants, such as heating boilers, liquid storing tanks and batch chemical reactors. Many different approaches have been developed to control such processes. A number of systems utilize proportional–integral (PI) or proportional–integral–derivative (PID) controller methods based on the classical unity feedback closed loop structure for time delayed unstable processes. But those are sometimes not acceptable in cases unstable system. To avoid this problem, the form of PSO (particle swarm optimization) and PSOGSA (particle swarm gravities) Algorithm based I-PD controller is applied for the control of Time delayed unstable processes. In this work the Integral Square Time Error (ISTE) is considered as an objective function for the optimization problem. The performance of PSO and PSOGSA tuned I-PD controller is compared with conventional I PD controller for the control of three different time delayed unstable processes (model)
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    Performance Analysis Of Radial Basis Function Neural Network Based Model Predictive Control For Biomass Boiler Process
    (2023) Ousman Essa
    As the world population has increased, electricity demand and consumption have risen rapidly in recent years. As a result, fossil fuel costs have risen and the associated air pollution has become a global issue. A biomass boiler power plant is one of the most effective solutions to this problem. The boiler plant is a multi-input, multi-output, time-varying and nonlinear system by nature. The majority of biomass boiler controllers use classical PID controllers. The inability of these classical controllers to control time-varying and nonlinear systems is the source of the plant's poor performance. To make the controller better, first determine the system model of the nonlinear, MIMO and time-varying system by employing a data-driven Radial Basis Function Neural Network model and then input the model result into the model predictive controller.
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    Modeling and control of the pitch angle of wind turbine using fuzzy logic based -adaptive controller
    (2022) Elias Ashebo
    Wind energy is a none convectional energy source that is now the subject of much research. Variable wind turbines are the most widely used type of wind turbine system because they are the most effective and provide more control across a broad speed variety. Wind behavior determines the manner in which a wind turbine converts energy. The main advantage of renewable energy is to avoid air pollution and to maximize society use of energy. Wind energy and wind speed controller very important to improve energy performance by using fuzzy logic based adaptive controller. Pitch angle control phenomenon assists in optimizing at lower wind speeds and stabilizing output power at higher wind speeds. It also assists in running the system with greater efficiency and dependability under turbulent weather situations or temperature change of high flow air.
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    Field Oriented Control based Speed Control of Permanent Magnet Synchronous Motor using Higher Order Sliding Mode Controller
    (2022) Tola Negesa Mergo
    In a range of industrial applications, permanent magnet synchronous motors (PMSM) have lately gained popularity in high-performance variable-speed drives. The great efficiency, compactness, high torque to inertia ratio, quick dynamic response, control, and maintenance free operation of the PMSM are some of its many qualities. A PMSM's dynamic model is highly nonlinear due to the connection in between electrical values and the motor speed. Variable voltage and variable frequency operation must be carried out to achieve high performance dynamic on PMSM both actual location within the rotor. To do this, stator current and rotational speed must be measured mechanically and fed back to the controllers. Numerous loading scenarios will be taken into account in the performance study
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    Design And Analysis Of Proportional-Resonant Controller With Thyristor Controlled Switched Capacitor For Mitigation Of Harmonic Distortion In Three-Phase System
    (2023) Getachew Lerebo
    The quality of electrical power has been a growing source of concern for both electric providers and end customers. It serves as a general term for a variety of distinct types of grid disruptions. In this paper design and analysis of a proportional-resonant controller with thyristor controlled switched capacitor for mitigation of harmonic distortion and style procedure for a digital Proportional-Resonant (PR) current controller mechanism is to boost power quality by reducing total harmonic distortion (THD) in three-phase system voltage source inverter is implemented in MATLAB/Simulink. The planning process provides a scientific explanation of how to calculate the proportional and resonant gains in addition to the coefficients for the digital resonant route