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Jingjing Gao,Xu Yang,Jian Huang,Kaixiang Peng 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.1
Stimulated by the enhancing requirements for system safety as well as process reliability in industrial processes, this paper investigates a subspace aided fault-tolerant control scheme for distributed homogeneous systems with symmetric interconnection pattern. To this end, a decomposition approach is first addressed to show how to convert and decompose the original distributed homogeneous system into a set of independent subsystems. Then, for the independent subsystems, offline subspace predictive controllers and recursive fault-tolerant subspace predictive controllers are designed respectively in a decentralized way. Finally, the controllers designed for the independent subsystems are converted back to the original distributed homogeneous system to achieve its faulttolerant control goal. The effectiveness of the proposed scheme is demonstrated by a case study on a multi-area interconnected power system.
Xinyu Guan,Yanyan Hu,Zengwang Jin,Kaixiang Peng 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10
This paper is focused on the finite-time sliding mode fault-tolerant control problem for a class of discrete networked control systems with intermittent fault and time-varying delay under the event-triggered scheme. The intermittent fault is described as a randomly occurring fault obeying a Bernoulli distribution. The event-triggered mechanism is introduced to determine the transmission of signal, which can conserve communication resources and reduce network burdens. By means of the sliding mode observer method, a linear sliding mode function is constructed by employing the estimated state and fault information. Based on Lyapunov stability theory, sufficient criteria are derived, which can ensure the closed-loop system is finite-time bounded with pre-specified H∞ performance requirement satisfied. Then, the event-triggered observer-based sliding mode fault-tolerant controller is established to force the system state trajectories onto a pre-set sliding mode region. Afterward, the solvability of the non-convex problem is studied by testifying the feasibility of a minimization problem. Finally, a practice simulation result is provided to illustrate the effectiveness of the proposed theoretical results.