Event-triggered estimation and model predictive control for linear systems with actuator fault

• Published in: IET control theory & applications Vol. 14; no. 16; pp. 2406 - 2412
• Main Authors: Lu, Qing, Shi, Peng, Wu, Ligang, Lim, Cheng-Chew
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 05.11.2020
• Subjects: actuator fault; actuators; constrained optimisation problem; control system synthesis; delta operator; estimation theory; event‐triggered fault estimation; fault compensation signals; fault tolerant control; fault tolerant model predictive control; linear systems; network bandwidth; nonlinear control systems; observer; optimisation; predictive control; Research Article; estimation theory; actuator fault; constrained optimisation problem; control system synthesis; linear systems; fault compensation signals; network bandwidth; event-triggered fault estimation; observer; optimisation; actuators; nonlinear control systems; predictive control; delta operator; fault tolerant control; fault tolerant model predictive control
• ISSN: 1751-8644; 1751-8652
• DOI: 10.1049/iet-cta.2019.1037

This study is concerned with the design of an event-triggered fault estimation and fault tolerant model predictive control scheme for linear systems subject to disturbances and actuator faults by using the method of delta operator. First, an observer is established to estimate the state and the fault simultaneously. An $H_{2}/H_{\infty }$H2/H∞ model predictive controller with fault compensation signals is then proposed through solving a constrained optimisation problem. An event-triggered scheme is employed to conserve the network bandwidth. The new design techniques are shown to be effective via simulation results.