Comparative Analysis Of Pid And Fuzzy Logic Controller For Induction Motor Speed Control

Induction motor (IM) is the most rigid, and relatively less expensive machine but much difficultrnto control. The advent of field-oriented control (FOC) makes IM useful in variable speed drivernapplications. The concept of FOC is to separate the torque and flux producing current and thenrncontrol the torque and flux separately. The advent of different control theory makes difficulty inrnthe choice of an appropriate controller. rnIn this thesis, a comparative analysis of fuzzy and PID control for IM speed control has been done.rnTo solve this problem first an indirect field-oriented control (IFOC) method motor control isrndesigned. In this design, the direct current ������ is kept constant for a fast response. In addition, thernmotor is modeled using rotor flux and stator current as a state variable. This model is veryrnimportant due to the presence of measurable quantity (stator current), and to mathematicallyrnquantify the alignment of rotor flux on the d-axis. rnBoth PID and fuzzy control of IM has been verified using simulation on MATLAB/SIMULINK.rnThe performance of both PID and FLC is analyzed in terms of reference tracking, load variation,rnparameter variation, low-speed tracking, and speed reversal. The PID controller results 0.3srnsettling time with 10% overshoot and the fuzzy controller 0.2s settling time with 0% overshoot.

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