Electrical Electronics

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Voltage Control Of DC-DC Buck Convertor Using Super-Twisting Sliding Mode Control
(2022) Ali Workineh Beyene
Non-linear DC-DC converters are employed in any case where it is necessary to stabilize a supplied DC voltage to a specific value. This converter output voltage alone typically oscillates, has significant overshoot, and takes a long time to stabilize. Additionally, when the supply voltage and load vary, it cannot provide the desired output voltage. Numerous controllers are needed to manage this issue and achieve continuous, stable output voltage and quick reaction. Due to their simplicity, FOPID controllers have typically been used with convertors to get the desired output voltage. However,the use of FOPID controllers in non linear systems does not satisfactory. In order to improve system efficiency, non-linear controls are necessary. In this study to provide quick and reliable buck converter efficiency, a super twisting sliding mode controller based on the super-twisting algorithm has been developed
Induction motor control for a long-range drive of an Electric Vehicle with three single-phase H-bridge inverters by using PI controller
(2022) Alemu Aragaw Kasahun
This thesis is concerned with the control of an induction motor for an Electric Vehicle (EV) with three single-phase H-bridge inverters. Nowadays the emission of carbon into the environment is a worldwide concern. In the industrial automobile process, the service of batteries for long-distance driving is always a challenge in the electric vehicle industry. This is due to the circulation of current in parallel configured batteries module. To tackle this problem three single-phase dc-link is proposed to supply the induction motor through the current controlled converter. Therefore, 21 battery cells are configured in series to achieve the dc-link voltage and 50 number of modules are configured to satisfy the current rating of the motor.
Assessment of Milk Quality and Quantity around Bule Hora Town
(2022) Yednekachew Tesema Dube
Quality is one of the for measurements of one thing or process, we must follow the standards or procedures to identify the quality of any measurement. Milk quality depends on worldwide quality standards. The technique must be standardized internationally. So that in this paper, the quality and quantity of milk are identified depending on the standard and the production level of the milk source. In the selected area (BuleHora), milk production is processed or produced throughout the year. The produced milk is used for household consumption, and there it is used for selling to gain income from production. In the process of production and selling, there are gaps in terms of quality; for that matter, these paper or research is trying to show how the quality and quantity of milk is identified during implementation and also trying to reduce the spoilage level of milk around the production area to consumers in the stud area.
Speed Control Of Five Phase Induction Motor Vector Control Using Anfis
(2022) Tadele Mengistie
This thesis presents design and simulation of Adaptive Neural Fuzzy inference system of five-phase induction machine speed control drives. For the modeling purpose five phase squirrel-cage induction motor is selected. In the past years research deal efforts in the area of IM control mechanisms that concentrated on identification and observation of this highly nonlinear dynamic plant. In order to reduce the torque ripple and harmonics for smooth operation of the machine and to reduce the amount of heat generated the motor has to be supplied with five-phase supply greater than three phase supply. A five-phase five leg 10 switch inverter fed five phase star connected load operating with five different excitation is simulated and compared with that of three phase conventional inverter
Design of an Improved PID Controller for Antilock Braking System (ABS) using Extremum Seeking Algorithm
(2022) Masresha Tirfe Habte
A safety anti-skid braking system known as an anti-lock braking system (ABS) is used on buses, trucks, cars, and motorcycles as well as on airplanes. Modern ABS systems attempt to maximize tire-generated braking forces by keeping the longitudinal slip ratio below a desirable level in addition to trying to prevent wheels from locking. Slip rate is the difference between actual and calculated vehicle speed affects the friction coefficient which varies depending on the road surface mainly used in control of slip. Conventionally, a great number of controllers have been built for ABS, but there is a limitation of maintaining the braking time
Design of Optimal multi-loop PI controller for Greenhouse climate control system using multi objective Evolutionary algorithm
(2022) Roza Mitiku
Greenhouses are increasingly essential for creating the optimal situation for cultivation. The benefits of greenhouse avoid the solar radiation, outside humidity, ventilation, outside temperature and other disturbances that affect greenhouse environments. So avoid directly to the greenhouse cultivation for planting in a moderate conditions that is very important for good cultivation, according to cost minimizations, high quality productions and health production rate in agricultural industry. The difficulty of the greenhouse climate control is the great uncertainties of the weather and greenhouse climate. Although many control approaches have been proposed to solve this problem, the structures of the controllers are usually complex, and the reliability of the controllers is usually not good in practice
Design And Analysis Of Proportional-Resonant Controller With Thyristor Controlled Switched Capacitor For Mitigation Of Harmonic Distortion In Three-Phase System
(2022) Enatnesh Asrat
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
Application Of Fuzzy Logic Controller For Maximum Power Tracking Of Pv Power System Under Partial Shade Condition
(2022) Getu Ayele
In this thesis work, the fuzzy logic controller is used to track the maximum power of a photovoltaic system when it is partially shaded. One of the most important tasks of the MPPT algorithm is to operate the PV system at or near Maximum Power Point. Many methodologies have been put forth; however, the traditional methods of perturb and observe and incremental conductance are the most popular due to their simplicity. However, some of the disadvantages include failure to monitor the global peak in conditions of partial shadow, steady-state oscillation, and incorrect perturbation direction for rapid climatic change. In this work, the performance of the fuzzy logic control strategy is compared with the classical technique. From the simulation results, it can be concluded that the fuzzy logic controller is outperformed with reduced steady-state error, quick dynamic performance, and precise tracking of the GMPP.
Design of Multivariable PID Control Scheme for Humidity and Temperature Control of Neonatal Incubator
(2022) Lamrot H/Michael
One among the most essential and delicate concerns in the world is preterm neonatal care. To cope with the external environment, a preterm baby requires an environment that is identical to that of the womb. Therefore, a neonatal incubator can be utilized to offer a comparable environment to neonates in the womb. The progress in neonatal incubator technology is utilized to prevent neonates’ mortality cases caused by infection and inadequate facility equipment management. In this thesis work, the overall system is designed using mathematical analysis. The neonate’s shape is modelled as a cylinder. The neonate is shown as a single lump with two layers: core and skin. The model includes every component of the neonatal incubator system, including the core, mattress, air circulation fan, heater, incubator walls, and humidification container
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.
Design of Optimal FOPID Controller for Unstable Magnetic Levitation System Using PSO and ACO Techniques
(2022) Misganew Meshesha
The main goal of the proposed fractional order PID controller optimized by particle swarm and ant colony optimization algorithms is to control the ferromagnetic ball position to track the reference position signal by minimizing the integral time absolute error of the levitated object. In addition to this, the designed controller improves the response characteristics of the system like overshoot, rise time, settling time, peak response, and steady state error. To stabilize an unstable maglev system, the designed compensator parameters are determined by the Routh Hurwitz stability criterion. To improve the closed loop performance of the designed FOPID controller, the system controlled by the proposed PSO-FOPID controller results a minimized percentage overshoot, settling time, peak response, rise time and steady state error from (5.851% to 2.577%), (18.898ms to 4.034ms), (1.063cm to 1.023cm), (5.925sec to 816.434micro sec) and (0.0001 to 0) as compared to FOPID controller. Finally, for improved position control and stabilization of magnetic levitation system, ACO optimized FOPID controller is designed. Furthermore, a comparison between MATLAB\Simulink simulation results of the magnetic levitation system controlled by FOPID, PSO optimized FOPID and ACO optimized FOPID controllers are made to check the performance of the designed controllers for magnetic levitation system. The FOPID controller parameters are more optimized by ant colony optimization algorithm; magnetic levitation system has good performance when it is controlled by ACO optimized FOPID controller. An ant colony optimization based fractional order PID controller gives improved overshoot, peak response, and settling time from (2.577% to 0.223%), (1.023cm to 1.003cm), (4.034msec to 1.472msec) than PSO optimized fractional PID controller.
Tuning of Setpoint Weighted PI Controller for the Concentration Control in CSTR with Non-Ideal Mixing
(2022) Mohammed Ayele
PID controllers are still the industry standard in control literature, despite considerable advancements in sophisticated process control systems like sliding mode control, internal model control, and model predictive control (MPC).The following are the main advantages of PID controllers over sophisticated control techniques. This means that it: (i) best-in-class and reliable performance for a range of processes; (ii) allows online/offline tweaking and retuning depending on the process under control's performance requirements. Real-time chemical process loops, such as those in continuous stirred tank reactors (CSTR), biochemical reactors, spherical tank systems, and conical tank systems, are typically nonlinear in nature.
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. Here, UCAP is used as energy storage as it provides excessive power in a short time interval. Integrated DVR into Ultra Capacitor via bidirectional DC-DC converter which supports in presenting a rigid dc-link voltage and helps in compensating temporary voltage sag and voltage swell. The integrated UCAP-DVR is implemented at low voltage side of distribution transformer. RBF Controller was used in DVR for power quality enhancement. The simulation results have been carried out by MATLAB/Simulink. In the proposed system the voltage sag is compensated from 0.304 p. u to 1p.u and the voltage swell is compensated from 1.125p.u to 1p.u.
Collision Avoidance Car Braking Neuro Fuzzy Controller
(2022) Girma Legese Beti
This thesis deals with a Neuro-Fuzzy Controller (NFC) for collision avoidance a car braking system. Collision avoidance is a major problem of the world today, with an increasing number of individuals causing the deaths and properly damage due to poor car braking control mechanisms.A mathematical and Matlab/Simulink model of the braking system's components has been constructed using a quarter-car model. On the basis of input factors such as slip, road condition, coefficient of friction, and wheel acceleration, two Neuro-Fuzzy Controllers (NFC) have been used to control various parameters, such as optimal slip and brake pedal power. Analysis has been done on the nature of the slip curve over the entire braking period with and without NFCs.Analysis has been done on the type of curve including wheel velocity and vehicle velocity as well as the time required to arrive at the stopping distance with and without NFCs.
Pitch angle control of fixed wing airplane autopilot using artificial neural networks based model reference adaptive control
(2022) Bantalem Dagne
This thesis investigates the advantages of an adaptive control based on the artificial neural network for the control of pitch angle of fixed-wing airplane autopilot systems. Flight control of a fixed-wing airplane is not suitable to work on due to unstable and time-varying conditions. Therefore, Lyapunov’s stability analysis in a direct model reference based on artificial neural networks strategy has been applied, for the control of a fixed-wing airplane. The autopilot is one of the vital parts of flying airplanes which establishes stability and accomplishment of the desired flight control
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)
Instability and a reduction in control performance are mostly caused by faults and failures in components of the system. In order to increase the control system's tolerance against faults and failures, fault-tolerant control (FTC) techniques have been developed recently. This thesis investigates an active FTC for rigid spacecraft attitude control subject to transducer faults, parameter uncertainty and external disturbance. The designed fault detection observer is capable of detecting the transducer fault without false alarms brought on by outside disturbances, model uncertainties, and the designed fault estimation is to estimate the overall effects of the fault and system states. Introduces an auxiliary variable that uses an indirect fault identification approach in order to estimate accurately and reduce the effect of faults or failures.
(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.
Design of an Active Fault-Tolerant Control System with transducer Faults for attitude control of rigid Spacecraft
(2022) Weldegebriel Birhanu
Instability and a reduction in control performance are mostly caused by faults and failures in components of the system. In order to increase the control system's tolerance against faults and failures, fault-tolerant control (FTC) techniques have been developed recently. This thesis investigates an active FTC for rigid spacecraft attitude control subject to transducer faults, parameter uncertainty and external disturbance. The designed fault detection observer is capable of detecting the transducer fault without false alarms brought on by outside disturbances, model uncertainties, and the designed fault estimation is to estimate the overall effects of the fault and system states. Introduces an auxiliary variable that uses an indirect fault identification approach in order to estimate accurately and reduce the effect of faults or failures.
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.
A Case Study on Hybrid Power Optimization Using Fuzzy pid Controller for Rail Trains (Dire Dewa to Addis Abeba)
(2022) Zekarias Sisay