| Summary: Asynchronous Motors, due to its suitability to industrial application and commertional reasons, are commonly used today in many fields. To control the feeding voltage of Asynchronous motor, PWM(Pulse Width Modulation) is widely preffered. Because PWM is a technic which ease the speed control of Asynchronous Motor.
In this study, the speed of PWM Inverter fed- single phaseAsynchronous Motor is controlled in Matlab/SIMULINK environment with a newkind of controller. In this proposed controller, the intervals of membership function of Fuzzy Logic Controller is tuned with Artificial Neural Network. The weights of this Artificial Neural Network is adjusted with the help of ADALINE (Adaptive Linear Element). The thesis, which is written in this purpose, is examined into three main parts. In introduction part, in order to make understandable the simulation part of the thesis, technical information and some control technics are explained. In second part, Artificial Neural Network tuned Fuzzy Logic Controller, which is suggested as an alternative to controllers used before studies with the aim of controlling single phase Asynchronous Motor, is introduced and in the last part Matlab/SIMULINK speed control applications are done and outputs of them are given. In the last part, to clarify the difference between conventional controllers and intelligent controllers, PWM-fed single phase Asynchronous Motor is controlled with PID, then with intelligent controllers such as Fuzzy Logic Controller and Artificial Neural Network. Last part of the control application, controlling single phase Asynchronous Motor with proposed method is simulated in Matlab/SIMULINK. Outputs of those simulations are compared in the conclusion part of thesis.
Key Words: Single Phase Asynchronous Motor, PWM (Pulse Width Modulation), Fuzzy Logic, Artificial Neural Network, ADALINE (Adaptif Liner Element), ANFIS (Adaptive Network based Fuzzy Inference System). |
