4.6 Article

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

期刊

IET CONTROL THEORY AND APPLICATIONS
卷 14, 期 16, 页码 2406-2412

出版社

WILEY
DOI: 10.1049/iet-cta.2019.1037

关键词

control system synthesis; optimisation; predictive control; linear systems; nonlinear control systems; actuators; estimation theory; fault tolerant control; fault tolerant model predictive control; linear systems; actuator fault; event-triggered fault estimation; fault compensation signals; delta operator; observer; constrained optimisation problem; network bandwidth

资金

  1. State Grid Heilongjiang Electric Power Company Limited [522417190057]
  2. National Key Research and Development Program of China [2019YFB1312001]
  3. National Natural Science Foundation of China [61525303, 61673130]
  4. Self-Planned Task of State Key Laboratory of Advanced Welding and Joining (HIT)
  5. Self-Planned Task of the State Key Laboratory of Robotics and System (HIT) [SKLRS201806B]

向作者/读者索取更多资源

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-infinity 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.

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