首页> 外文期刊>Chinese Journal of Mechanical Engineering >FUZZY GLOBAL SLIDING MODE CONTROL BASED ON GENETIC ALGORITHM AND ITS APPLICATION FOR FLIGHT SIMULATOR SERVO SYSTEM
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FUZZY GLOBAL SLIDING MODE CONTROL BASED ON GENETIC ALGORITHM AND ITS APPLICATION FOR FLIGHT SIMULATOR SERVO SYSTEM

机译:基于遗传算法的模糊全局滑模控制及其在飞行模拟器伺服系统中的应用

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摘要

To alleviate the chattering problem, a new type of fuzzy global sliding mode controller (FGSMC) is presented. In this controller, the switching gain is estimated by fuzzy logic system based on the reachable conditions of sliding mode controller(SMC), and genetic algorithm (GA) is used to optimize scaling factor of the switching gain, thus the switch chattering of SMC can be alleviated. Moreover, global sliding mode is realized by designing an exponential dynamic sliding surface. Simulation and real-time application for flight simulator servo system with Lugre friction are given to indicate that the proposed controller can guarantee high robust performance all the time and can alleviate chattering phenomenon effectively.
机译:为了缓解抖振问题,提出了一种新型的模糊全局滑模控制器(FGSMC)。在该控制器中,基于滑模控制器(SMC)的可达条件,通过模糊逻辑系统估计开关增益,并利用遗传算法(GA)优化开关增益的比例因子,从而使SMC的开关抖动可以被减轻。此外,通过设计指数动态滑动表面来实现整体滑动模式。给出了具有Lugre摩擦力的飞行模拟器伺服系统的仿真和实时应用,表明所提出的控制器能够始终保证高鲁棒性,并能有效缓解抖振现象。

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