Takagi–Sugeno Fuzzy Fault-Tolerant Control of an Induction Motor

This paper demonstrates the application of a new fault-tolerant control scheme for a rail vehicle traction system using digital signal processing hardware and a representative induction motor test-rig. The approach presented takes into account the stability and design of non-linear fuzzy inference systems based on Takagi–Sugeno (T-S) fuzzy models. The paper derives the necessary conditions for the assignability of eigenvalues to a region in the s-plane and the necessary conditions to guarantee the stability of adaptive fuzzy models. The problem is solved via the Linear Matrix Inequalities (LMI) method.