Adaptive fuzzy fault-tolerant control of static var compensator based on dynamic surface control technique

The adaptive fuzzy faults tolerant control problem is investigated for a single machine bus system with static var compensator (SVC). This design does not require that speed of the generator rotor and susceptance of the overall system are measured, and also does not require that the parameters of the controlled system are known accurately. The considered faults are modeled as both loss of effectiveness and lock-in-place. A fuzzy state observer is designed to estimate the speed of the generator rotor and susceptance, by combining the adaptive backstepping technique with a dynamic surface control (DSC) approach, a novel adaptive fuzzy output-feedback faults tolerant control approach is developed. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB), and the angle of the generator rotor follows a desired value. Simulation results are presented to show the effectiveness of the approach.

[1]  Z.Y. Dong,et al.  Nonlinear robust adaptive SVC controller design for power systems , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[2]  Ping Li,et al.  Adaptive fuzzy control of unknown nonlinear systems with actuator failures for robust output tracking , 2008, 2008 American Control Conference.

[3]  Yi Liu,et al.  Adaptive Backstepping Sliding Mode $H_{\infty} $ Control of Static Var Compensator , 2011, IEEE Transactions on Control Systems Technology.

[4]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control , 1994 .

[5]  Bing Chen,et al.  Direct adaptive fuzzy control for nonlinear systems with time-varying delays , 2010, Inf. Sci..

[6]  Shaocheng Tong,et al.  Adaptive Backstepping Sliding Mode Control of Static Var Compensator , 2011 .

[7]  Ping Li,et al.  An adaptive fuzzy design for fault-tolerant control of MIMO nonlinear uncertain systems , 2011 .

[8]  Liu Xian-fei,et al.  A Variable Structure Robust Control Method in SVC Application for Performance Improvement , 2006, 2007 Chinese Control Conference.

[9]  Shaocheng Tong,et al.  A DSC Approach to Robust Adaptive NN Tracking Control for Strict-Feedback Nonlinear Systems , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[10]  Haisheng Yu,et al.  Fuzzy-approximation-based adaptive control of the chaotic permanent magnet synchronous motor , 2012 .

[11]  Shengyuan Xu,et al.  Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems , 2011, IEEE Transactions on Fuzzy Systems.

[12]  Shaocheng Tong,et al.  Adaptive fuzzy backstepping output feedback control for a class of MIMO time-delay nonlinear systems based on high-gain observer , 2011, Nonlinear Dynamics.

[13]  Euntai Kim,et al.  Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor , 2005, IEEE Trans. Fuzzy Syst..

[14]  Peter Liu,et al.  H∞ output tracking fuzzy control for nonlinear systems with time-varying delay , 2012, Appl. Soft Comput..

[15]  Shaocheng Tong,et al.  Observer-based adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults , 2012 .

[16]  Bing Chen,et al.  Direct adaptive neural control for strict-feedback stochastic nonlinear systems , 2011, Nonlinear Dynamics.

[17]  Cai Chao-hao Design of H_2/ H_∞ Guaranteed Cost Controller for SVC , 2006 .

[18]  Shaocheng Tong,et al.  Adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults , 2013, Int. J. Syst. Sci..

[19]  Dan Wang,et al.  Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form , 2005, IEEE Transactions on Neural Networks.

[20]  Min Tan,et al.  Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach , 2008, IEEE Transactions on Fuzzy Systems.

[21]  Guanghong Yang,et al.  Backstepping adaptive fuzzy control of uncertain nonlinear systems against actuator faults , 2009 .

[22]  Shaocheng Tong,et al.  Adaptive fuzzy backstepping control of static var compensator based on state observer , 2013 .