含对象脉冲序列模型辨识智能PID参数自整定

提出了一种新的在线ＰＩＤ参数自整定方法，在对象辨识中，引进了非参数的离散脉冲序列模型，并推导出一组闭环情况下的辨识公式，它适合于大纯滞后和各种阶次的复杂对象，很好地解决了大纯滞后的辨识问题，文中还把仿真技术引进实时控制中，设计出一种实用的，具有一定智能性的自整定方法，实时控制实验证明此方法是正确和有效的。

INTELLIGENT PID PARAMETERS SELF-TUNING BASED ON THE IMPLUSE ARRAY MODEL IDENTIFICATION

A new on-line PID parameters self-tuning method is presented. In the identification, non-parameter discrete impluse model is led and a group of identification formulaes are introduced. This method is suited to large time delay and all kinds of order complex objects, and has solved the problem of identification of large time delay. The simulation technology has been led into real-time control, a practical and intelligent PID parameters self-tuning method has been obtained. The real--time control experiments prove that the method is correct and effective.