Senior Design project

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Project 1 - Load Frequency Control of multi area hybrid system using PI and Fuzzy Controllers

This senior Design Project will propose a fuzzy approach to control the load frequency deviations. A hybrid multi area linear system is modeled in MATLAB Simulink environment. After the development of hybrid power system models different types of controllers are developed. Fuzzy approach is one of important methodology of soft computing tools to solve the power system problem in a very efficient way for last two decades. The performances of these controllers are compared for disturbance in either area.

Fuzzy logic controller is chosen as a controller for this project because it consist several advantages. It provides parallel or distributed control, linguistic control, robust control, and It is suitable for application such as automatic generation control, which has very high non linearity. Fuzzy logic controller is able to cope with system uncertainty which is the disadvantage of traditional controller.

Power system frequency regulation entitled load frequency control (LFC), as a major function of automatic generation control (AGC), has been one of the important control problems in electrical power system design and operation. Maintaining frequency and power interchanges with neighboring control areas at the scheduled values are the two primary objectives of a power system LFC. These objectives are met by measuring control error signal, called the area control error (ACE), which represents the real power imbalance between generation and load, and is a linear combination of net power interchange and frequency deviations.

Project Resources

Project Report

Final Presentation

Project Files

Project 2 - Fuzzy Control of DC Motor Drive

This project presents a simulation of speed control of a separately excited DC motor drive using fuzzy logic control at MATLAB environment. Separately excited DC motor is used and armature voltage control method is applied. Required control voltage based on motor speed error (e) and it changes (ce). The performance of DC motor drives system was evaluated through digital simulation using simulink toolbox of MATLAB. DC chopper is used as a diver in this work to change the average value of load voltage applied from a fixed DC source. To control average output voltage, pulse width modulation (PWM) technique is used. Fuzzy Logic Controller is used to generate the control signal for chopper and speed control of DC motor. Fuzzy logic is used for defining membership function and rule for FLC.

Fuzzy logic controller is chosen as a controller for this project because it consist several advantages. It provides parallel or distributed control, linguistic control, robust control, and It is suitable for application such as the speed control of dc motor which has non linearity. Fuzzy logic controller is able to cope with system uncertainty which is the disadvantage of traditional controller.

Project Resources

Project Report

Final Presentation

Project Files

Project 3 - Fuzzy Logic Based Hysteresis Control of Active Power Filter

The Active Power Filter uses power electronic switching to generate harmonic currents that cancel the harmonic currents from a non-linear load. The Active Power Filter is connected in parallel with the load being compensated.

The harmonic current content produced by the load is estimated. This harmonic current is considered as the reference current. The reference value is compared with the saw-tooth wave of high frequency and switching signals for the Voltage Source Inverter (VSI) are generated. VSI will generate the required compensation current.

The current control of active filter control is based on hysteresis band techniques, which are employed to derive the desired switching signals for the inverter. The fuzzy DC voltage controller optimizes the energy storage of the DC capacitor. The fuzzy controller and active filter are designed using MATLAB/SIMULINK and simulate and test under several loads configurations.

Fuzzy logic controller is chosen as a controller for this project because it consist several advantages. It provides parallel or distributed control, linguistic control, robust control, and It is suitable for application such as the speed control of dc motor which has non linearity. Fuzzy logic controller is able to cope with system uncertainty which is the disadvantage of traditional controller.

Project Resources

Project Report

Final Presentation

Project Files

Other Resources