A decoupled adaptive neuro-fuzzy sliding mode control system to control rotating stall and surge in axial compressors

A decoupled adaptive neuro-fuzzy (DANF) sliding mode control system is proposed to control rotating stall and surge in jet engine compression systems. In this way, on-line learning ability is employed to deal with the parametric uncertainty and disturbance by adjusting the control parameters. The control objective is to drive the system state to the original equilibrium point and it proves that the control system is asymptotically stable.

[1]  Hong Wang,et al.  A direct adaptive neural-network control for unknown nonlinear systems and its application , 1998, IEEE Trans. Neural Networks.

[2]  Nicholas A. Cumpsty,et al.  Prediction of Compressor Performance in Rotating Stall , 1978 .

[3]  Ahmad Bagheri,et al.  An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle , 2010, Expert Syst. Appl..

[4]  Chin-Teng Lin,et al.  Neural fuzzy systems , 1994 .

[5]  F. Moore,et al.  A Theory of Post-Stall Transients in Axial Compression Systems: Part I—Development of Equations , 1986 .

[6]  Jan Tommy Gravdahl,et al.  Compressor Surge and Rotating Stall: Modeling and Control , 1998 .

[7]  Chun-Yi Su,et al.  A sliding mode controller with bound estimation for robot manipulators , 1993, IEEE Trans. Robotics Autom..

[8]  Ahmad Bagheri,et al.  Decoupled adaptive neuro-fuzzy (DANF) sliding mode control system for a Lorenz chaotic problem , 2009, Expert Syst. Appl..

[9]  Rong-Jong Wai,et al.  Sliding-mode-controlled slider-crank mechanism with fuzzy neural network , 2001, IEEE Trans. Ind. Electron..

[10]  F. Moore,et al.  A Theory of Post-Stall Transients in Axial Compression Systems: Part II—Application , 1986 .

[11]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[12]  Miroslav Krstic,et al.  Nonlinear and adaptive control de-sign , 1995 .

[13]  Rong-Jong Wai,et al.  Tracking control based on neural network strategy for robot manipulator , 2003, Neurocomputing.

[14]  Ahmad Bagheri,et al.  Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle , 2009, Neurocomputing.

[15]  Lon-Chen Hung,et al.  Decoupled control using neural network-based sliding-mode controller for nonlinear systems , 2007, Expert Syst. Appl..