Control Strategy of Permanent Magnet Synchronous Motor Based on Improved Whale Optimization Algorithm
In Permanent Magnet Synchronous Motor(PMSM)speed regulation system,there are common phenomena such as unstable speed overshoot and large load interference.Therefore,an Improved Whale Optimization Algorithm(IWOA)is proposed to optimize the traditional PI control parameter tuning of the speed loop.Firstly,based on the Whale Algorithm(WOA),nonlinear inertia weights are introduced to balance the local and global search capabilities of the algorithm.Secondly,based on the idea of learning strategies,the location of each individual in the whale population is optimized.Finally,a simulation model of the motor speed regulation system is built on Matlab/Simulink and simulation experiments are conducted.The simulation results show that The control strategy based on the IWOA reduces the overshoot rate from 3％to 1.5％compared to the traditional WOA,while the PI control overshoot rate is 5％,further enhancing the system's ability to resist load disturbances and significantly improving the performance of PMSM in all aspects.
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