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The research of adaptive fuzzy sliding mode control in electromotive power loading simulator for actuator

机译:电动执行机构仿真器中的自适应模糊滑模控制研究

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Aimed at tracking precision of a certain electromotive power loading simulator for actuator with uncertainties and external disturbance, a new design approach of an adaptive fuzzy sliding mode controller (AFSMC) for nonlinear systems with mismatched time-varying uncertainties is presented in this paper. An adaptive parameters adjuster and fuzzy control rules are introduced into the sliding mode controller. The adaptive law is used to adjust parameters of the controller on-line to improve the performance of the fuzzy sliding mode control system and the fuzzy control law is used to attenuate the chattering phenomenon. The bounds of uncertainties are not required to be known in advance for the presented AFSMC and the stability of the fuzzy control system is also guaranteed. Simulation results show that the proposed design approach can not only improve the tracking precision of the electromotive power loading for actuator, but also reduce the chattering around the sliding surface and external disturbance effectively.
机译:针对具有不确定性和外部干扰的某电动负载模拟器的跟踪精度,提出了一种具有不确定匹配时变不确定性的非线性系统的自适应模糊滑模控制器(AFSMC)的新设计方法。自适应参数调节器和模糊控制规则被引入到滑模控制器中。自适应律用于在线调节控制器的参数,以提高模糊滑模控制系统的性能,而模糊控制律则用于减弱抖动现象。对于所提出的AFSMC,不需要预先知道不确定性的界限,并且还可以保证模糊控制系统的稳定性。仿真结果表明,所提出的设计方法不仅可以提高执行器电动负载的跟踪精度,而且可以有效地减少滑动面的颤动和外部干扰。

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