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中文摘要：
永磁同步电机交流伺服系统为复杂的强耦合、时变、非线性系统,传统PID控制难以实现伺服系统高精度控制性能要求. 在传统PID控制基础上,对永磁同步电机转速引入模糊神经网络控制,设计-种基于鸡群算法优化的模糊神经网络PID速度控制器. 仿真分析与试验结果表明,应用模糊神经网络PID速度控制的永磁同步电机矢量系统,转速响应快、超调小、控制精度高、抑制扰动能力强、鲁棒性好,取得了良好的控制效果.
英文摘要：
Permanent magnet synchronous motor AC servo system is a complex strong coupling, time-varying, nonlinear system, and it is difcult for the traditional PID control to achieve servo system high-precision control performance requirements. Based on the traditional PID control, fuzzy neural network control is introduced for the speed of permanent magnet synchronous motor, and a fuzzy neural network PID speed controller is designed based on the chicken swarm optimization algorithm. Simulation and test results show that the application of fuzzy PMSM vector system PID neural network speed control has the advantages of fast response speed, small overshoot, high control precision, disturbance rejection ability, good robustness as well as good control effect.
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