Fault detection and isolation using multiple Takagi-Sugeno fuzzy models

In this paper, soft fault detection and isolation (FDI) for nonlinear plants is addressed. A new method has been developed that combines fuzzy Takagi-Sugeno (TS) models, used for residual generation, with quadratic programming for residual evaluation and fault isolation. This method can isolate and identify total and partial failures, both single and multiple. The information from the FDI module can be used for control reconfiguration. One simulation and one real-time example are given to illustrate the functionality of the proposed approach.