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A Novel Fuzzy Logic Based Adaptive Supertwisting Sliding Mode Control Algorithm for Dynamic Uncertain Systems

机译:一种新的基于模糊逻辑的自适应超扭转滑模控制   动态不确定系统的算法

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摘要

This paper presents a novel fuzzy logic based Adaptive Super-twisting SlidingMode Controller for the control of dynamic uncertain systems. The proposedcontroller combines the advantages of Second order Sliding Mode Control, FuzzyLogic Control and Adaptive Control. The reaching conditions, stability androbustness of the system with the proposed controller are guaranteed. Inaddition, the proposed controller is well suited for simple design andimplementation. The effectiveness of the proposed controller over the firstorder Sliding Mode Fuzzy Logic controller is illustrated by Matlab basedsimulations performed on a DC-DC Buck converter. Based on this comparison, theproposed controller is shown to obtain the desired transient response withoutcausing chattering and error under steady-state conditions. The proposedcontroller is able to give robust performance in terms of rejection to inputvoltage variations and load variations.
机译:本文提出了一种新颖的基于模糊逻辑的自适应超扭曲滑模控制器,用于控制动态不确定系统。所提出的控制器结合了二阶滑模控制,模糊逻辑控制和自适应控制的优点。所提控制器保证了系统的达到条件,稳定性和鲁棒性。另外,所提出的控制器非常适合于简单的设计和实现。通过在DC-DC Buck转换器上进行的基于Matlab的仿真,说明了所提出的控制器在一阶滑模模糊逻辑控制器上的有效性。基于此比较,所示控制器在稳态条件下获得了所需的瞬态响应,而不会引起抖动和误差。所提出的控制器能够在抑制输入电压变化和负载变化方面提供强大的性能。

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