椭球边界下非线性双转子系统的容错跟踪控制

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Norbert Kukurowski, M. Mrugalski, M. Pazera, M. Witczak
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引用次数: 3

摘要

摘要提出了一种基于自适应鲁棒观测器的非线性系统容错跟踪控制方法。另外,假定非线性系统可能存在故障,即同时受到执行器和传感器故障以及扰动的影响。因此,采用h∞方法实现了鲁棒观测器和容错跟踪控制器的稳定性。此外,将未知的执行器和传感器故障和状态以不确定区间为界,用于估计质量评估和可靠的故障诊断。这意味着较窄的间隔伴随着更好的估计质量。因此,为了解决上述困难,我们假定扰动是由椭球体越界的。最后,通过一个非线性双转子气动实验系统验证了所提容错跟踪控制方案的性能和正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault–Tolerant Tracking Control for a Non–Linear Twin–Rotor System Under Ellipsoidal Bounding
Abstract A novel fault-tolerant tracking control scheme based on an adaptive robust observer for non-linear systems is proposed. Additionally, it is presumed that the non-linear system may be faulty, i.e., affected by actuator and sensor faults along with the disturbances, simultaneously. Accordingly, the stability of the robust observer as well as the fault-tolerant tracking controller is achieved by using the ℋ∞ approach. Furthermore, unknown actuator and sensor faults and states are bounded by the uncertainty intervals for estimation quality assessment as well as reliable fault diagnosis. This means that narrow intervals accompany better estimation quality. Thus, to cope with the above difficulty, it is assumed that the disturbances are over-bounded by an ellipsoid. Consequently, the performance and correctness of the proposed fault-tolerant tracking control scheme are verified by using a non-linear twin-rotor aerodynamical laboratory system.
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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