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MODEL REFERENCE ADAPTIVE CONTROL WITH FUZZY FRICTION COMPENSATION FOR HIGH-PRECISION SERVO SYSTEM

机译:高精度伺服系统的带有模糊摩擦补偿的模型参考自适应控制

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摘要

This paper presents a novel model reference adaptive control scheme with a fuzzy friction compensator (FFC) for flight simulator turn table servo systems. The hybrid controller consists of a MRAC controller and an adaptive fuzzy friction compensator. The model reference adaptive controller improves the tracking performance of the high precision servo systems, and the adaptive fuzzy logic compensator based on fuzzy basis functions mainly compensates the nonlinear dynamic friction by utilizing a universal approximation function to approach the generalized nonlinear function which describes the nonlinear dynamic friction and other external disturbances. The global stability and astringency of the closed-loop servo system are guaranteed by Lyapunov theorem. According to the simulation results, the proposed control scheme efficiently improves the position tracking precision and eliminates the negative effects induced by the nonlinear friction and bounded external disturbances of the servo system.
机译:本文针对飞行模拟器转台伺服系统,提出了一种具有模糊摩擦补偿器(FFC)的新型模型参考自适应控制方案。混合控制器由MRAC控制器和自适应模糊摩擦补偿器组成。模型参考自适应控制器提高了高精度伺服系统的跟踪性能,基于模糊基函数的自适应模糊逻辑补偿器主要通过利用通用逼近函数逼近描述非线性动态的广义非线性函数来补偿非线性动态摩擦。摩擦和其他外部干扰。 Lyapunov定理保证了闭环伺服系统的整体稳定性和收敛性。根据仿真结果,所提出的控制方案有效地提高了位置跟踪精度,并消除了伺服系统的非线性摩擦和有界外部干扰所引起的负面影响。

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