Optimal Tuning of Fractional Order Sliding Mode Controller with Adaptive CS Algorithm for PMSM Speed Control

Abstract

To improve dynamic quality and control performance of permanent magnet synchronous motor (PMSM) speed control, the fractional order sliding mode controller (FOSMC-PID) with PID sliding surface was designed and its parameters were tuned optimally by adaptive Cuckoo Search (CS) algorithm. The newly proposed adaptive rules of the Lévy distribution and abandon probability coefficients in adaptive CS algorithm ensure the optimal tuning of the controller parameters. The proposed control system achieves small chattering phenomenon with fast convergence speed in PMSM speed control. Through MATLAB simulation, the PMSM speed control performance of integer-order SMC and fractional-order SMC, and the parameter tuning results by CS algorithm and PSO algorithm are compared and analyzed. The simulation results show that the proposed controller design method not only has good dynamic response but also has strong robustness to disturbances.