High-order iterative learning fault-tolerant control for batch processes with iteration-varying sensor faults

Abstract

This work is focused on the iterative learning fault-tolerant control for linear batch process with iteration-varying sensor faults. First, high-order internal model (HOIM) is used to describe iteration-varying sensor faults. Second, a special high-order dynamic iterative learning fault-tolerant control is constructed according to the HOIM. Third, The HOIM-based iterative learning fault-tolerant control is transformed into a controller design problem for a 2D Roesser model. Fourth, a HOIM-based iterative learning fault-tolerant control design criterion is presented to achieve the asymptotic stability. Finally, a numerical example is given to illustrate the efficiency of the proposed HOIM-based iterative learning fault tolerant control.