Fuzzy Based Sliding Mode Control of Vector Controlled Multiphase Induction Motor Drive under Load Fluctuation

Abstract

This paper describes a sliding mode-based fuzzy logical method with a PID controller that was used to control the speed of an indirect filed oriented vector control (IFOC) multiphase induction motor drive. A number of quantities must be calculated and measured for a multiphase induction motor. However, as we progress from phase to phase, the number of parameters increases, and the phase equation becomes large. Furthermore, due to the nonlinearity of the system, measuring those quantities becomes more difficult as we progress through the phases. The difficulty of measuring quantities is not the only issue in multiphase induction motors; parameter and load fluctuation also contribute to poor quality transient and steady-state response of the controlled parameters. The common parameter variation problem of a multiphase induction motor is rotor resistance variation. As the motor phase increases, the effect of some unconsidered parameters in system design increases. Because the error is caused by unbalanced parameter measurement and load fluctuation, a mechanism for detecting the system's output and making logical decisions based on the reference is required. Fuzzy inference method combining sliding mode controller is utilized in this work to realize automatic regulation of the motor parameter, handling load fluctuation, and disturbance together with the application of the vector control system for five-phase induction motor implemented with the help of MATLAB/Simulink. Vector control allows induction motors to behave similarly to direct motors. The results show that the sliding mode controller (SMC) was resistant to changes in induction motor parameters as well as external disturbances. The response precisely tracks the reference in a very short period of time.

Keywords

• multiphase induction motor
• vector control
• fuzzy control
• sliding mode control