Comparative Analysis of PID and Fuzzy Logic Controller for Induction Motor Speed Control

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Addis Ababa University


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



Fuzzy Control, FOC control, space vector modulation, PID control, reference frame