GA-based decentralized controller design for integrated flight/propulsion systems

2012 Power Engineering and Automation Conference Pub Date : 2012-09-01 DOI:10.1109/PEAM.2012.6612523

Dai Jiyang, Huang Ying, Peng Chen

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引用次数: 0

Abstract

A new method is developed to deal with the problem that a decentralized integrated flight/propulsion control system needs to keep centralized control performance. The systematic procedure emphasizes quickly finding the decentralized subcontrollers that matching the closed-loop performance characteristics of the centralized controller, which is featured by the fact that GA is used to optimize the design of centralized H-infinity controller and decentralized engine subcontroller, and that only one interface variable needs to satisfy decentralized control requirement. The optimization design is motivated by the implementation issues where it is desirable to reduce the time in trial and error process and accurately find the best decentralized subcontrollers. The method is applied to decentralized control system design for a short take-off and landing fighter. Through comparing the simulation results of decentralized control system with those of centralized control system, the decentralized control system match the closed-loop command tracking and decoupling performance achieved by centralized control.

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基于遗传算法的飞行/推进系统分散控制器设计

针对分散飞行/推进综合控制系统需要保持集中控制性能的问题，提出了一种新的控制方法。系统过程强调快速找到与集中控制器闭环性能特征相匹配的分散子控制器，其特点是采用遗传算法对集中式h∞控制器和分散引擎子控制器进行优化设计，只需一个接口变量即可满足分散控制要求。优化设计的动机是实现问题，希望减少在试错过程中的时间，并准确地找到最佳的分散子控制器。将该方法应用于某型短距起降战斗机分散控制系统的设计。通过对分散控制系统与集中控制系统仿真结果的比较，发现分散控制系统的闭环指令跟踪解耦性能与集中控制系统相匹配。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2012 Power Engineering and Automation Conference

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