Self-healing Control Based on State Observer for Networked Control Systems

doi:10.3901/JME.2023.18.095

Abstract

Abstract: The self-healing control based on state observer is presented. A fault diagnosis algorithm based on state observer is improved in order to detect and diagnose the actuator/sensor faults in networked control systems(NCSs). In this algorithm, the observation gain matrix and fault estimation gain matrix is obtained by using Lyapunov stability theory and linear matrix inequality. Meanwhile, an auxiliary signal for actuator fault estimation is designed for improving delay of estimation of actuator fault. Then, a fault detection strategy is improved for making the real-time performance of fault detection better. By analyzing the experimental data of actuator and sensor fault estimation, an optimal fault location method is designed to deal with the problem of fast fault location in NCSs. Moreover, self-healing control combining fault diagnosis and reconfiguration based on control law is provided aims to reduce the influences of faults on the performance of NCSs. Finally, the self-healing control proposed in this paper is verified with simulation in network environment.

Key words: self-healing control, networked control systems, actuator fault, sensor faults, fault diagnose

CLC Number:

TP273

WANG Xin, YIN Xunhe, LIANG Huaqing, CHEN Lihong. Self-healing Control Based on State Observer for Networked Control Systems[J]. Journal of Mechanical Engineering, 2023, 59(18): 95-110.

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