鲁棒自适应增益对滑模控制器抖振的抑制

A. Alrawi, Saadi A. Alobaidi, S. Graovac
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引用次数: 3

摘要

本文提出了一种改进滑模控制器的新设计,采用自适应指数增益(AEG)来减少不必要的抖振现象。利用一种新的状态反馈增益函数与传统滑模控制器(CSMC)相结合实现了系统的抖振抑制。根据系统状态的值计算增益的值;使得滑模控制器(SMC)增益的新值总是依赖于系统状态而不是不连续符号函数作为校正控制项。在SMC中,抖振的幅值与不连续控制的幅值成正比,如果控制信号的幅值被减小到由SMC条件的存在所定义的最小值,就可以解决这个令人担忧的问题。该方法的应用使控制信号的幅度减小到尽可能小的值,保持了SMC的特性。将AEG算法与现有处理系统抖振的超扭转算法(STW)进行比较,表明AEG算法能有效地抑制系统抖振。此外,该算法具有更强的鲁棒性、准确性和对外部噪声和系统参数变化的高响应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust adaptive gain for suppression of chattering in sliding mode controller
This paper proposing a new design to improve sliding mode controller by employing an Adaptive Exponential Gain (AEG) for reducing the unwanted chattering phenomenon. The chattering reduction is achieved by using a new gain function of states feedback system combined with Conventional Sliding Mode Controller (CSMC). The value of the gain is calculated based on the value of the system states; so that a new value of sliding mode controller (SMC) gain always depending on the system stats as the corrective control term instead of discontinuous sign function. In SMC the amplitude of chattering is proportional to the magnitude of discontinuous control, this worrying issue can be handled if the magnitude of the control signal is reduced to a minimal value defined by exist of the conditions for the SMC. The application of this methodology AEG enables for reducing the control signal magnitude to the minimum possible value maintenance the property of SMC. The AEG algorithm shows an efficient reduction in system chattering as comparison between it and existing methods Super Twisting Algorithm (STW), used to treatment of chattering phenomenon. Moreover, the new algorithm is more robust, accurate and high responses to external noise and any change in system parameters.
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