An augmented TS fuzzy plant model has been proposed to model the nonlinear plant subject to large parameter uncertainties, sensor faults and actuator faults. Based on this augmented TS fuzzy plant model, three different methods to design the fuzzy FTC have been proposed to tackle this nonlinear system. A design procedure of fuzzy fault tolerant controllers has been developed. The stability and robustness of the fuzzy FTC systems have been investigated based on the results of Chapters 11.2 and 11.3. An application example on stabilizing a WES with sensor faults, actuator faults and parameter uncertainties has been given to illustrate the design procedure and merits of the proposed fuzzy fault tolerant controller.

Chapter Contents:

• 11.1 Introduction
• 11.2 RFFTC of WES with DFIG
• 11.2.1 TS fuzzy model with parameter uncertainties and fuzzy observer
• 11.2.1.1 TS fuzzy plant model with parameter uncertainties, sensor faults and actuator faults
• 11.2.1.2 TS fuzzy observer and the RFFTC scheme design
• 11.2.2 Proposed RFFTC based on FPIEO and FDOS
• 11.2.2.1 Nonlinear RFFTC
• 11.2.2.2 The augmented fuzzy control system
• 11.2.3 Proposed RFFTC stability and robustness analysis
• 11.2.4 WES with DFIG application
• 11.2.4.1 The wind turbine characteristics and modelling
• 11.2.4.2 WES model system with DFIG in dq coordinates
• 11.2.5 Simulations and results
• 11.3 RFSFTC of WES with DFIG subject to sensor and actuator faults
• 11.3.1 TS fuzzy plant model with actuator faults, sensor faults and parameter uncertainties
• 11.3.2 Proposed RFSFTC algorithm based on FPIEO and FDOS
• 11.3.2.1 Proposed RFSFTC controllers
• 11.3.2.2 Stability analysis for the proposed RFSFTC algorithm
• 11.3.3 Derivation of the stability and robustness conditions
• 11.3.4 WES with DFIG application and simulations and results
• 11.4 RDFFTC of HWDSS subject to actuator and sensor faults
• 11.4.1 Fuzzy observer scheme for the uncertain system with sensor and actuator faults
• 11.4.2 Proposed RDFFTC, reference model and stability analysis
• 11.4.2.1 Proposed RDFFTC
• 11.4.2.2 Stability analyses of the proposed RDFFTC
• 11.4.3 HWDSS application and simulations and results
• 11.4.3.1 HWDSS description
• 11.4.3.2 TS fuzzy HWDSS description
• 11.4.3.3 Simulation studies
• 11.5 Chapter conclusion
• References

Inspec keywords: fuzzy control; robust control; sensors; power system simulation; wind power plants; actuators; fault diagnosis; wind turbines; power generation control; nonlinear control systems; fault tolerant control; power generation faults

Other keywords: sensor faults; RFSFTC; fuzzy fault tolerant controllers; RFFTC; WES; actuator faults; Takagi-Sugeno fuzzy model; wind turbine; parameter uncertainties; fuzzy FTC systems stability; time-varying faults; wind energy system; robust dynamic fuzzy FTC; RDFFTC; augmented TS fuzzy plant model; robust fuzzy fault tolerant control; robust fuzzy scheduled FTC; nonlinear plant model

Subjects: Control of electric power systems; Control technology and theory (production); Fuzzy control; Power and plant engineering (mechanical engineering); Power engineering computing; Nonlinear control systems; Wind power plants