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Automatic Synthesis of Control System using Learning Method

利用学习方法自动综合控制系统

基本信息

批准号：
61550293
负责人：
NAKANO Michio
金额：
$ 1.34万
依托单位：
Tokyo Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1986
资助国家：
日本
起止时间：
1986 至 1987
项目状态：
已结题

项目摘要

Methods of improving transientcharacteristics of positioning servomechanism have been often studied both from theritical and practical aspects.In this work, the author proposes a new method to improve the characteristics by focusing on the response rather than the transfer function of the systems. Namely, even in the case of the servomechanism with unknown transfer function, by way of introducing the concept of learning, by constantly looking at the response in adjusting process of the system, it was proved possible to realize an ideal transient response with outstanding performance in terms of rapid response.Specifically, the finite time response is to be ultimately obtained by correcting the height of bang-bang element in the velocity velocity feedback loop by the overshoot valeu or the undershoot valeu of the step response.Furthermore, a new control algorithm (we call hysterisis control) is proposed to eliminate the influence of the input signal. In this algorithm, a velocity feedback through a hysterisis element is introduced in a servo system modeled by a second order system" to accomplish the Posicast control principle without influence of the input . signal.Finally, some experiments were done in a crane control system to confirm that the proposed method generates a simple control structure with good response features.

改善定位伺服机构瞬态特性的方法经常从理论和实践两个方面进行研究。在这项工作中，作者提出了一种通过关注系统的响应而不是传递函数来改善特性的新方法。也就是说，即使在传递函数未知的伺服机构的情况下，通过引入学习的概念，通过不断观察系统调节过程中的响应，也证明可以实现理想的瞬态响应，并且在快速响应方面表现出色。具体来说，通过超调值或此外，提出了一种新的控制算法（我们称为迟滞控制）来消除输入信号的影响。在该算法中，通过迟滞元件的速度反馈被引入到由二阶系统建模的伺服系统中，以在不受输入信号影响的情况下完成Posicast控制原理。最后，在起重机控制系统中进行了一些实验，以证实所提出的方法产生了具有良好响应特性的简单控制结构。