A New Adaptive Sliding Mode Reaching Law: Theoretical Design and Simulation Analysis (Adv. Theory Simul. 10/2024)

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES Advanced Theory and Simulations Pub Date : 2024-10-10 DOI:10.1002/adts.202470023
Shuangxi Liu, Zehuai Lin, Wei Huang, Binbin Yan
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Abstract

Based on the reaching-law strategy, the sliding mode control (SMC) has drawn considerable attention for its ability to enhance the dynamic quality of a system's convergence performance and reduce the chattering phenomenon effectively. Inspired by the traditional Chinese classic Journey to the West, the adversarial relationship between “Wukong” and the monster is paralleled with the relationship between the designed adaptive reaching law and the chattering phenomenon within SMC. In this analogy, the winding body of the monster represents the chattering phenomenon, while Wukong striking with a golden cudgel symbolizes a mitigation of this shaking effect. The proposed adaptive reaching law, building on the work of Wang et al. (2014), improves upon previous adaptive gains to ensure the stable system operation. The new adaptive gain converges to a small neighborhood around the origin, preventing chattering and enabling system tracking errors to converge within a finite time. For further details, see article number 2300736 by Wei Huang and co-workers.

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一种新的自适应滑模到达法:理论设计与仿真分析(Adv.)
基于到达律策略的滑模控制(SMC)因其能够提高系统收敛性能的动态质量并有效减少颤振现象而备受关注。受中国传统经典《西游记》的启发,"悟空 "与妖怪之间的敌对关系与 SMC 中设计的自适应达到律与颤振现象之间的关系相类似。在这一比喻中,怪兽蜿蜒的身体代表颤动现象,而悟空用金箍棒击打怪兽则象征着缓解这种颤动效应。在 Wang 等人(2014 年)研究成果的基础上,提出的自适应达标法则改进了之前的自适应增益,以确保系统稳定运行。新的自适应增益收敛到原点周围的一个小邻域,防止了颤振,并使系统跟踪误差在有限时间内收敛。更多详情,请参阅黄伟及其合作者发表的文章,文章编号 2300736。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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