Optimized chattering‐attenuated sliding mode controller for a perturbed VTOL system

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Asian Journal of Control Pub Date : 2024-08-30 DOI:10.1002/asjc.3492
Idael Oliva‐Leal, Jorge Said Cervantes‐Rojas, Rogelio Lozano, Iván González‐Hernández
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Abstract

This study presents a novel design of an optimized chattering‐attenuated quasi‐sliding mode controller for the stabilization of a vertical take‐off and landing aircraft affected by external disturbances. We propose a methodology based on a particle swarm optimization algorithm to provide an optimal boundary layer thickness of the quasi‐sliding mode controller (QSMC) structure based on a sigmoid‐type function approximation to reduce the chattering noise in the control signal while an adequate stabilization quality is guaranteed. This represents an alternative to the common strategies based on a trial and error tuning of such boundary layer thickness of sigmoid‐type approximations. Also, the Lyapunov formalism is applied to restrict the search space of the QSMC gain to guarantee stability conditions. Some simulation tests were carried out to demonstrate the enhanced chattering attenuation capability of the proposed solution against a standard sliding mode controller and the superior stabilization performance versus other robust controllers.
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针对扰动 VTOL 系统的优化颤振衰减滑模控制器
本研究针对受外部干扰影响的垂直起降飞机的稳定问题,提出了一种优化的颤振衰减准滑动模态控制器的新设计。我们提出了一种基于粒子群优化算法的方法,以提供准滑动模态控制器(QSMC)结构的最佳边界层厚度,该厚度基于西格米函数近似值,以降低控制信号中的颤振噪声,同时保证足够的稳定质量。这代表了一种基于试错调整西格玛型近似函数边界层厚度的常见策略的替代方案。此外,还应用了 Lyapunov 形式主义来限制 QSMC 增益的搜索空间,以保证稳定条件。通过一些仿真测试,证明了与标准滑模控制器相比,所提出的解决方案具有更强的颤振衰减能力,与其他鲁棒控制器相比,具有更优越的稳定性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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