控制参数的智能自整定算法

针对固定整定参数的控制器不能满足操作条件经常变化的控制系统要求的问题，给出了一种智能自整定控制算法，理论分析及仿真实验表明，当操作条件发生变时，该算法参数调整方便、适用能力强、应用范围广、响应快、调节时间短、控制效果明显优于其他智能自整定算法。

A Rule Based Intelligent Self-Tuning Algorithm

In view of the problem that the fixed tuning parameter controller can not meet the requirements of the controlling systems that constantly change their operation conditions, an intelligent self tuning algorithm is presented. Theoretical analysis and simulation tests show that the method has the advantages of convenient adjusting, strong adaptive capability, wide range application, fast response speed and short adjusting time. Its controlling effect is significantly better than other intelligent self tuning algorithms under constantly changing operating conditions.