基于遗传算法的永磁同步直线电机PID控制研究

由于永磁同步直线电机系统运行过程中参数摄动和负载扰动等问题的存在，传统 PID控制器无法满足高精度伺服控制系统的要求。设计出一种基于遗传算法(GA)优化的 PID 控制器，并通过 Simulink 对永磁同步直线电机控制系统进行建模和仿真实验。仿真和实验表明，采用 GA优化的PID控制器与传统的 PID控制器在指定速度和负载扰动条件下相比，具有更好的动态稳定性和跟踪性能，能有效抑制参数摄动的影响并对负载扰动具有较强的鲁棒性，实验结果也证明了方案的有效性和可行性。

PID control of permanent magnet linear synchronous motor based on genetic algorithms

As the permanent magnet synchronous linear motor system is running dynamic parameter uncertainties and load disturbances exist such issues,the traditional PID controller can not meet the requirements of high precision servo control system.This design of an optimal PID controller based on genetic algorithm (GA),and through Simulink permanent magnet synchronous linear motor control system modeling and simulation.The simulation and experimental results show that the genetic algorithm (GA)optimization of PID controller and traditional PID controller at the specified speed and load disturbance conditions,compared with better dynamic stability and tracking performance,can effectively inhibit parameter perturbation impact and load disturbance has strong robustness, The results also demonstrate the effectiveness and feasibility of the program.