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 TS 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
