Abstract
This paper describes the application of a new fault-tolerant control scheme for nonlinear systems. 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 necessary conditions for eigenvalue assignability to a region in the s-plane are derived along with necessary conditions to guarantee the stability of adaptive fuzzy models for both diagnostic T-S fuzzy observers and controllers. The problem is solved using Linear Matrix Inequalities (LMI). The feasibility of this system architecture is demonstrated using a 3-phase induction motor laboratory rig as an example of a fault-tolerant system for applying principles of fault detection and isolation (FDI) and control system reconfiguration. The scheme uses the D space® software and digital signal processing to implement the fault detection and control system reconfiguration on the test rig.
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