Variable-parameter Speed Controller for Adaptive Flux-vector-controlled Permanent Magnet Synchronous Motor Drive Using Improved Particle Swarm Optimization Algorithm

A variable-parameter speed controller was developed for an adaptive flux-vector-controlled (FVC) permanent magnet synchronous motor (PMSM) drive. The decoupled FVC PMSM drive was established using the stator voltage and current, and an adaptation mechanism of the model reference adaptive system (MRAS) speed prediction scheme was designed using the firefly algorithm (FA). A variable-parameter speed controller was designed using an improved particle swarm optimization (PSO) algorithm, replacing the conventional fixed-parameter speed controller to adapt to severe interference and sudden load changes. Hall-effect current sensors were used as electromagnetic sensing elements to detect the stator current from the PMSM. A MATLAB/Simulink© toolbox was used to establish the simulation scheme, and all control algorithms were realized using a microcontroller card. Simulation and experimental results under load changes confirmed the effectiveness of the proposed approach.