Date of Award

6-2015

Degree Name

Master of Science in Engineering

Department

Electrical and Computer Engineering

First Advisor

Dr. Ikhlas Abdel-Qader

Second Advisor

Dr. Johnson Asumadu

Third Advisor

Dr. Abdolazim Houshyar

Access Setting

Masters Thesis-Open Access

Abstract

This thesis presents a hybrid PID-Fuzzy control system for the speed control of a three-phase squirrel cage induction motor. The proposed method incorporates fuzzy logic and conventional controllers with utilization of vector control technique. This method combines the advantages of fuzzy logic controller and conventional controllers to improve the speed response of the induction motor. The design of fuzzy system consists of 9 fuzzy variables and 49 IF-THEN rules that define the behavior of the system. The FLC observes the loop error signal and correspondingly control the PID input error signal so that the actual speed signal matches the reference speed signal with reduced rise time, settling time, and peak over shoot. Implementation and simulation results using MATLAB/SIMULINK of various hybrid system controllers such as (PI-, PD-, and PID-fuzzy) are compared along with conventional PI controller in terms of several performance measurements such as rise time (tr), maximum percent overshoot (Mp), settling time (ts), and steady state error (Ess) at various load conditions. The results verified the effectiveness of the proposed hybrid speed controller under different operating conditions and demonstrated improvements in performance in speed tracking and system’s stability.

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