ADAPTIVE FUZZY LOGIC BASED CONTROL OF INDUCTION MOTORS

S. Purwar, I.N. Kar, and A.N. Jha

Keywords

Backstepping control, fuzzy logic systems, induction motor

Abstract

In this paper, we present an adaptive tracking control for the induction motors using multi-input–multi-output fuzzy logic systems (MIMO-FLS). The rotor resistance and load torque of the system dynamics are considered to be unknown. The structure of the feedback control law is derived based on backstepping method. The unknown nonlinear functions of the controller are approximated using MIMO-FLS. An on-line parameter tuning algorithm is presented based on Lyapunov stability theorem. In the proposed control algorithm, the rotor flux measurement is not needed. Moreover, an amplitude current limitation technique is adopted to protect the motor against excessive magnitudes of stator currents. The effectiveness of the control scheme has been validated based on simulation results.

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