控制方向未知的不确定切换非线性系统的无颠簸传递自适应控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Feiyue Wu, Dong Wang, Jie Lian
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引用次数: 0

摘要

研究了一类参数未知、控制方向未知的不确定非线性切换系统的无碰撞传递自适应控制问题。非线性动力学和参数不确定性的固有复杂性使得控制输入信号突变引起的开关颠簸难以缓解。现有的方法,如调整控制器参数或限制控制增益,已被证明在解决这一挑战方面是无效的。为了克服这个问题,我们构建了一个辅助系统来建立跟踪性能和BT性能之间的联系,从而量化切换颠簸的影响。提出了一种通过估计开关参数来适应动态不确定性的BT自适应控制方案。此外,通过对辅助系统控制方向的合理选择,引入了未知控制方向的管理机制。所提出的BT自适应控制方案保证了所有闭环信号和跟踪误差最终保持有界。同时,它保证了令人满意的BT性能,并可以灵活地修改设计参数以进一步改进。最后给出了仿真结果,验证了所提控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bumpless Transfer Adaptive Control for Uncertain Switched Non-Linear Systems With Unknown Control Direction

This article investigates the bumpless transfer (BT) adaptive control of a class of uncertain switched non-linear systems with unknown parameters and unknown control direction. The inherent complexities associated with non-linear dynamics and parametric uncertainties make it difficult to mitigate switching bumps caused by abrupt jumps in the control input signal. Existing approaches, such as tuning controller parameters or limiting control gains, have proven ineffective in resolving this challenge. To overcome this, an auxiliary system is constructed to establish a connection between the tracking performance and the BT performance, thereby quantifying the impact of switching bumps. A BT adaptive control scheme is proposed to accommodate the dynamic uncertainties by estimating switching parameters. Moreover, a mechanism to manage the unknown control direction is incorporated by appropriately selecting the control direction for the auxiliary system. The proposed BT adaptive control scheme ensures that all the closed-loop signals and the tracking error remain ultimately bounded. Simultaneously, it guarantees satisfactory BT performance, with the flexibility to modify design parameters for further improvements. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control schemes.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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