Artificial Bee Colony Optimized Self-tuning PI Speed Controller for FCS-MPCC of Permanent Magnet Synchronous Machines

In this paper, an artificial bee colony optimized self-tuning proportional integrator (PI) regulator is proposed for the finite control set model predictive current control (FCS-MPCC) of the permanent magnet synchronous machine (PMSM). In view of the MIT rule hypothesis, the self-tuning laws were defined. The optimized coefficients for the PI regulator were calculated using a custom defined objective function for artificial bee colony algorithm to manage external (load) and internal disturbances. The proposed self-tuning PI controller with optimized coefficients result in smaller steady state torque bias error with improved dynamic speed response especially during the speed reversal. Furthermore, the self-tuning laws are extremely basic and can be easily implemented. Numerical simulations were carried out to show the effectiveness of the proposed speed controller and comparison was drawn with the classical PI under the same test in the MATLAB/Simulink environment.