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On-line identification research of pneumatic servo control system

机译:气动伺服控制系统在线辨识研究

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摘要

Because of strong nonlinearity and low stiffness of pneumatic servo control system , modern control theory and intelligent control theory are mainly used in pneumatic servo control system,so there should be on-line identification to estimate system parameter. In this paper, Recursive Forgetting Factor Method and are used in the on-line identification research of pneumatic position servo control system which adopts pole-placement adaptive control method, and contrast between Recursive Forgetting Factor Method on-line identifidation result and Amendatory Square-root Method on-line identifidation result had been analysed mainly, furthermore, controlling results of pneumatic position servo control system from the two different identification methods have been contrasted, too. The experiment shows Amendatory Square-root Method works well with the pneumatic position servo control system adopting pole-placement adaptive control method.
机译:由于气动伺服控制系统非线性强,刚度低,因此气动控制系统主要采用现代控制理论和智能控制理论,因此需要在线辨识系统参数。本文采用递归遗忘因子法,将其应用于采用极点自适应控制的气动位置伺服控制系统的在线辨识研究中,并将递归遗忘因子法的在线辨识结果与修正平方根进行对比。主要分析了方法的在线识别结果,并对两种不同识别方法对气动位置伺服控制系统的控制结果进行了对比。实验表明,修正平方根法在采用极点自适应控制的气动位置伺服控制系统中效果很好。

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