摘要
本文介绍了一种由启发式模糊推理规则来实现未知对象模型下参数整定的PI自校正控制器。它首先计算由参考给定输入的阶跃变化引起的系统输出响应曲线的三个特征量──超调量，上升时间，稳定时间。然后与有经验的操作工的参数整定策略相仿，从这些特征量构造一个“监视并调整”参数整定的Fuzzy逻辑整定器。由该整定器指导的控制器参数的改变将改善系统控制性能。最终完成PI控制器的参数整定。最后的仿真实例表明了本方法的有效性。
In the paper,a PI Selftuning Controller with fuzzy logic is discussed. Step changes of the refer-ence input are used to assess control performance in terms of overshoot,risetime and setting time of the step response. Similar to the strategy of an experienced plant operator,a fuzzy logic 'supervi-sion and tuning module' can conclude from these features,which changes of the controller parame-ters will improve control behaviour. Simulation example gives good results of this method.
出处
《工业控制计算机》
1997年第2期7-9,共3页
Industrial Control Computer
