一种最优输出反馈控制方法及其在电机-发电机系统中的应用

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Jiaquing Wang, T. Egami, T. Tsuchiya
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引用次数: 0

摘要

基于改进的最优调节器理论,提出了一种具有输出反馈结构的多输入多输出反馈控制系统综合方法。该方法应用于直流电机/交流发电机系统。仿真和实验结果验证了该方法的有效性。通过被控对象状态方程的可观测标准形式,导出了一种输入输出关系,并将改进的最优调节器理论应用于该关系。控制器由比例动作、积分动作、差分动作和输入延时补偿动作组成。被控对象的控制器中包含(1 - 1)th阶差分动作,其中包含第l阶输出子系统。另一方面,对于同一个被控对象,前一种方法中包含了(n - 1)阶差分动作。为了考虑所设计控制系统的暂态响应,通过仿真和实验研究了所定义性能指标中各权重因子与暂态响应的关系。实验得到了双输入/双输出系统的满意响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimal output feedback control method and application to a motor‐generator system
A multi-input/multi-output feedback control system synthesis method with output feedback structure is proposed on the basis of an improved optimal regulator theory. The method is applied to a DC motor/AC generator system. The effectiveness of the method is demonstrated by simulation and experimental studies. An input-output relation is derived through the observable canonical form of the state equations of the controlled object, and an improved optimal regulator theory is applied to the relation. The controller consists of proportional actions, integral actions, difference actions and compensating actions for input delay times. The (l — 1) th-order difference actions are included in the controller for the controlled object in which an lth-order output subsystem is included. On the other hand, the (n — 1) th-order difference actions are included in the previous method for the same controlled object. In order to consider the transient response of the designed control system, the relations between the weighting factors in the defined performance index and the transient response are studied by simulation and experiment. Satisfactory responses for a two-input/two-output system are obtained in our experiments.
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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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