Performance-Based Fault-Tolerant Control For Hot Rolling Processes

In hot rolling processes, equipment fouling, feedstock variations and product changes may cause multiplicative faults, which will considerably affect the system stability and production quality. This paper focuses on performance-based fault-tolerant control (FTC) for multiplicative faults in hot rolling processes. First, the residual-driven fault-tolerant controller is presented through Youla Parameterization, the parameter of which is designed according to the small gain theory to maximize the fault-tolerant margin of the controller. Subsequently, the mechanism formulas of stand and looper are analysed to construct the nonlinear thinkness-looper integrated model, and then the state space model is obtained by linearizing the nonlinear model at the operating point through Taylor Formula. In light of this model, the effectiveness of the proposed FTC strategy is illustrated. It can be observed that the proposed fault-tolerant controller can stabilize the faulty system whereas the nominal controller can not.