具有不匹配不确定性的受约束系统的输出反馈 SOSM 控制

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-08 DOI:10.1109/TASE.2024.3470779
Keqi Mei;Jingkai Liu;Shihong Ding
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引用次数: 0

摘要

本文针对一类具有不匹配不确定性和非对称输出约束的非线性系统,设计了一种输出反馈二阶滑模(SOSM)控制协议。该控制策略的设计和分析过程主要包括以下步骤。首先,引入非线性映射将有输出约束的SOSM系统转化为无输出约束的SOSM动态。其次,通过采用适当调度增益的缩放变换,显式构造了基于输出反馈的SOSM控制器。第三,从理论上证明了所提出的控制策略既保证了整个系统的有限时间收敛性,又符合预设的非对称输出约束。最后,对一个实际应用实例进行了仿真研究,验证了该算法的可行性和有效性。与文献中普遍存在的结果不同,我们的控制框架揭示了两个引人注目的特征。一是通过基于系统转换的控制来解决输出约束问题。二是所提出的输出反馈控制设计不依赖于分离原理,即分析了包含状态反馈SOSM控制器和不连续观测器的全闭环SOSM系统的有限时间收敛性。本文考虑了一类具有不匹配不确定性的非对称输出约束非线性系统,其模型广泛应用于工程领域,如制造业、运输业等。对于这类系统,由于在仅能获得输出信息的情况下,同时考虑了不匹配的不确定性和输出约束,输出反馈SOSM控制问题至今没有得到解决。为此,我们通过引入非线性映射、尺度变换和类退步技术,成功地建立了一种新的输出反馈SOSM控制方案。此外,通过Lyapunov方法对整个系统的有限时间收敛性进行了分析和验证,并保证了预先设定的非对称输出约束的满足,使所提策略更具工程化。在未来的工作中,将致力于在电动汽车的实验平台上验证所提出的方法。
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Output Feedback SOSM Control of Constrained Systems With Unmatched Uncertainties
In this work, we devise an output feedback second-order sliding mode (SOSM) control protocol for a category of nonlinear systems with unmatched uncertainties and asymmetric output constraints. The procedure of the design and analysis for this control tactic primarily encompasses the following steps. To begin with, a nonlinear mapping is introduced to convert the output-constrained SOSM system into a new SOSM dynamics without output constraints. Next, through adopting a scaling transformation with properly scheduled gains, a SOSM controller via output feedback is explicitly constructed. Third, it is theoretically certified that the presented control strategy insures both the finite-time convergence of the whole system and the compliance with the preset asymmetric output constraint. Eventually, the simulation studies on a practical application example confirm the feasibility and benefits of the proposed algorithm. Distinct from the prevailing outcomes in the literature, our control frame reveals two compelling features. One is that the output constraint issue is tackled via the system conversion based control. The other is that the proposed output feedback control design is independent of the separation principle, i.e., the finite-time convergence for the total closed-loop SOSM system embracing a state feedback SOSM controller and a discontinuous observer is together analyzed. Note to Practitioners—The paper considers a class of asymmetric output-constrained nonlinear systems subject to unmatched uncertainties, whose models are pervasively adopted in the engineering fields, e.g., manufacturing sector, transportation, etc. For such systems, the output feedback SOSM control issue hitherto has not been tackled, since under the circumstance that merely the output information is obtainable, the unmatched uncertainties and the output constraints are simultaneously considered. To this end, we successfully establish a novel output feedback SOSM control scheme by introducing the nonlinear mapping, the scaling transformation and the backstepping-like technique. Moreover, the finite-time convergence of the entire system is analyzed and corroborated via the Lyapunov method, and the fulfillment of the pre-specified asymmetric output constraint is assured, which make the proposed strategy more engineering-oriented. In future work, the efforts will be directed towards the validation of the proposed approach on an experimental platform for electric vehicles.
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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