PI control of permanent magnet synchronous motor based on chaotic adaptive Crested Porcupine Optimizer
To solve the problem of low precision and slow speed of permanent magnet synchronous motor(PMSM)parameter identification,a proportional-integral(PI)control strategy of PMSM based on chaotic adaptive Crested Porcupine Optimizer(C-CPO)is proposed in this paper.The algorithm introduced chaotic mapping on the basis of the Crested Porcupine Optimizer(CPO)to enhance the diversity of the initial population.In this paper,the PMSM model is established by using Simulink in MATLAB software,which mainly compares the differences between the traditional PI control strategy and the C-CPO algorithm in the speed,electromagnetic torque and stator current of the permanent magnet synchronous motor PI control in the starting stage.It is verified that the PMSM based on C-CPO algorithm PI controller has better robustness and stability.
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