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Fuzzy Iterative Learning Control-based Design of Fault Tolerant Guaranteed Cost Controller for Nonlinear Batch Processes

Jingxian Yu, Hui Dang, and Limin Wang*
International Journal of Control, Automation, and Systems, vol. 16, no. 5, pp.2518-2527, 2018

Abstract : "For nonlinear batch processes with actuator faults and external disturbances, a fault-tolerant guaranteed cost controller is proposed based on fuzzy iterative learning control. The linear process model is treated by a sector nonlinear method into a T-S fuzzy faulty model, then the obtained model is transformed into the 2D Roesser equivalent model using the two-dimensional characteristics of batch processes. Based on the obtained model and the Lyapunov stability theory, the quadratic cost function is given and the fault-tolerant guaranteed cost controller guaranteeing that the closed-loop performance index is not more than an upper bound is designed to deal with the actuator fault. The fault-tolerant controller guarantees the stable operation of the faulty system and also has the best system performance with the controller gain and the maximum performance index being solved through constrained optimization. Finally, the simulation on a strong nonlinear reactor is carried out. It shows that the proposed method is more feasible and effective than other methods."

Keyword : "Batch processes, fuzzy fault-tolerant guaranteed cost control, ILC (iterative learning control), T-S fuzzy 2D Roesser model."

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