Observer compensation-based model predictive fault-tolerant control for industrial processes: A high-order fully actuated system-method

This paper proposes a fault-tolerant predictive tracking control strategy for the industrial process based on a high-order fully actuated (HOFA) system method. First, a novel system representation method is employed to model the industrial process as a HOFA system. Subsequently, a fault-compensated HOFA predictive fault-tolerant control scheme is introduced, which includes two components: HOFA feedback stabilization and HOFA model predictive tracking control. Within this framework, an incremental predictive model is developed to replace the reduced-order prediction model by employing a Diophantine equation. The cost function, which incorporates tracking performance, is subsequently minimized using multi-step output prediction. Additionally, sufficient conditions for the stability and tracking performance of the closed-loop HOFA system are derived. The advantage of this approach lies in its ability to reduce system dimensionality while effectively eliminating the impact of faults on system stability through the introduction of an observer-based compensation concept. This ensures stable operation under fault conditions, or even operation unaffected by faults. Finally, the effectiveness and reliability of the proposed method are validated through a case study involving a nonlinear reactor.