Nonlinear Modeling for Fault‐tolerant Control

This chapter discusses some important topics that should help the reader to understand how to move from fault diagnosis to fault tolerance. It presents the fault-tolerant control algorithms applied to dynamic processes. The chapter also discusses passive and active fault-tolerant control systems and highlights the achievable performances and the complexity of their design procedures. It considers controller reconfiguration mechanisms, which can guarantee system stability and satisfactory performance. The chapter employs fuzzy clustering techniques to partition the available data into subsets characterized by linear behaviors. It describes the recursive approach exploited for obtaining the mathematical description of dynamic process, which is used for the design of the adaptive control strategy. The chapter outlines the main differences between active fault-tolerant control and passive fault-tolerant control systems and suggests how they can be applied to dynamic processes. The capabilities of the adopted fault diagnosis module can be summarized by means of the fault signature matrix