Tuning Hybrid Super Twisting Algorithm with Fuzzy Logic Type 2 Controller by PSO Applied in DTC of Dual Star Induction Machine

The direct torque control of the dual star induction motor (DTC-DSIM) using conventional PID controllers is characterized by unsatisfactory performance: torque, high flux ripples and sensitivity to parametric variations. Among the most evoked control strategies adopted in this field to overcome these drawbacks presented in classical drive, it is worth mentioning the use of the second order sliding mode control (SOSMC) based on the super twisting algorithm (STA) combined with the fuzzy logic control (FSOSMC).In order to realize optimal control performance, the FSOSMC parameters are adjusted using an optimization algorithm based on the particle swarm optimization (PSO). Finally, the performance of the envisaged control scheme, called PSO-F1,2-SOSMC, are investigated against PSO-SOSMC and PSO-PID. The proposed controller scheme are efficient in reducing the torque and flux ripples, successfully suppress chattering and the effects of parametric uncertainties not affecting system performance.