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提出了一种基于模糊推理与遗传算法的最优PID控制器的设计方法 .该控制器由离线和在线 2部分组成 .在离线部分 ,以系统响应的超调量、上升时间及调整时间为性能指标 ,利用遗传算法搜索出一组最优的PID参数K p ,T i 及T d ,作为在线部分调节的初始值 ;在在线部分 ,采用一个专用的PID参数优化程序 ,以离线部分获得的K p ,T i 及T d 为基础 ,根据系统当前的误差e和误差变化率 e ,通过模糊推理在线调整系统瞬态响应的PID参数 ,以确保系统的响应具有最优的动态和稳态性能 .计算机仿真结果表明 ,与传统的PID控制器相比 ,这种最优PID控制器具有良好的控制性能和鲁棒性能 ,可用于控制不同的对象和过程
An optimal PID controller design method based on fuzzy inference and genetic algorithm is proposed.The controller consists of two parts, offline and online.In the offline part, with the system response overshoot, rise time and adjustment time as performance Indicators, the use of genetic algorithm to search out a set of optimal PID parameters K p, T i and T d, as the online part of the adjustment of the initial value; in the online part, using a dedicated PID parameter optimization program, the offline part of the K Based on the current error e and error rate e of the system, the PID parameters of the system transient response are adjusted online by fuzzy reasoning to ensure that the system response has the best dynamic and steady-state performance. Computer simulation results show that, compared with the traditional PID controller, this optimal PID controller has good control performance and robustness, which can be used to control different objects and processes