State space model predictive fault-tolerant control for batch processes with partial actuator failure

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Abstract

This paper presents a state space model predictive fault-tolerant control scheme for batch processes with unknown disturbances and partial actuator faults. To develop the model predictive fault-tolerant control, the batch process is first treated into a non-minimal representation using state space transformation. The relevant concepts of the corresponding model predictive fault-tolerant control is thus introduced through state space formulation, where improved closed-loop control performance is achieved even with unknown disturbances and actuator faults, because, unlike traditional model predictive fault-tolerant control, the proposed control method can directly regulate the process output/input changes in the design. For performance comparison, a traditional model predictive fault-tolerant control is also designed. Application to injection velocity control shows that the proposed scheme achieve the design objective well with performance improvement. © 2014 Elsevier Ltd.

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Zhang, R., Lu, J., Qu, H., & Gao, F. (2014). State space model predictive fault-tolerant control for batch processes with partial actuator failure. Journal of Process Control, 24(5), 613–620. https://doi.org/10.1016/j.jprocont.2014.03.004

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