System reliability aware model predictive control framework
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This paper presents a Model Predictive Control (MPC) framework taking into account the usage of the actuators to preserve system reliability while maximizing control performance. Two approaches are proposed to preserve system reliability: a global approach that integrates in the control algorithm a representation of system reliability, and a local approach that integrates a representation of component reliability. The trade-off between the system reliability and the control performance should be taken into account. A methodology for MPC tuning is proposed to handle this trade-off. System and component reliability are computed based on Dynamic Bayesian Network. The effectiveness and benefits of the proposed control framework are discussed through its application to an over-actuated system.
CitationSalazar, J., Weber, P., Nejjari, F., Sarrate, R., Theilliol, D. System reliability aware model predictive control framework. "Reliability engineering and system safety", 1 Novembre 2017, vol. 167, p. 663-672.