Guaranteed cost active fault-tolerant control of networked control system with packet dropout and transmission delay

Authors:
Xiao-Yuan Luo;Mei-Jie Shang;Cai-Lian Chen;Xin-Ping Guan
Affiliations:
Institute of Electrical Engineering, Yanshan University, Qinhuangdao, PRC 066004;Institute of Electrical Engineering, Yanshan University, Qinhuangdao, PRC 066004;Institute of Electrical Engineering, Yanshan University, Qinhuangdao, PRC 066004 and School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, PRC 200 ...;Institute of Electrical Engineering, Yanshan University, Qinhuangdao, PRC 066004 and School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, PRC 200 ...
Venue:
International Journal of Automation and Computing
Year:
2010

Citing 3
Cited 1

Brief paper: Stabilization of linear systems over networks with bounded packet loss

Automatica (Journal of IFAC)
Stability guaranteed active fault-tolerant control of networked control systems

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Delay-dependent stabilization of linear systems with time-varying state and input delays

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Sensor/actuator faults detection for networked control systems via predictive control

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Abstract

The problem of guaranteed cost active fault-tolerant controller (AFTC) design for networked control systems (NCSs) with both packet dropout and transmission delay is studied in this paper. Considering the packet dropout and transmission delay, a piecewise constant controller is adopted. With a guaranteed cost function, optimal controllers whose number is equal to the number of actuators are designed, and the design process is formulated as a convex optimal problem that can be solved by existing software. The control strategy is proposed as follows: when actuator failures appear, the fault detection and isolation unit sends out the information to the controller choosing strategy, and then the optimal stabilizing controller with the smallest guaranteed cost value is chosen. Two illustrative examples are given to demonstrate the effectiveness of the proposed approach. By comparing with the existing methods, it can be seen that our method has a better performance.