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Parameter Tuning of PID Controller of Servo System Based on Particle Swarm Optimization Algorithm

机译:基于粒子群优化算法的伺服系统PID控制器参数调整

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In order to improve the control precision of permanent magnet synchronous motor servo drive,a Proportional-Integral-Differential(PID)control method based on particle swarm optimization(PSO)algorithm is proposed.Firstly,the mathematical model of the permanent magnet synchronous motor was established.Then the PSO algorithm was used to adjust the parameters of the PID controller.Finally,the simulation experiment was carried out under the MATLAB/Simulink environment to test its performance.Compared with the traditional manual parameters tuning,the PID controller based on PSO algorithm had better performance and better stability.
机译:为了提高永磁同步电动机伺服驱动器的控制精度,提出了一种基于粒子群优化(PSO)算法的比例积分 - 差分(PID)控制方法。过光,永磁同步电动机的数学模型是已建立。然后使用PSO算法来调整PID控制器的参数。最后,在Matlab / Simulink环境下进行仿真实验,以测试其Performance.com与传统的手动参数调整,PID控制器基于PSO的PID控制器算法具有更好的性能和更好的稳定性。

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