Neural Adaptive Compensation Control for a Class of MIMO Uncertain Nonlinear Systems with Actuator Failures

A neural adaptive compensation control scheme for a class of multi-input multi-ouput (MIMO) uncertain nonlinear systems with actuator failures is proposed based on prescribed performance bound (PPB) transient performance which characterizes the convergence rate and maximum overshoot of the tracking error. RBF neural networks are used to approximate the error of plant model, the control law proposed can guarantee the asymptotic output tracking and closed-loop signal bounds. The control scheme is applied to a twin otter aircraft longitudinal nonlinear dynamics model in the presence of unknown failures. Simulation results demonstrate the effectiveness of the proposed method.

[1]  Wei Wang,et al.  Adaptive actuator failure compensation control of uncertain nonlinear systems with guaranteed transient performance , 2010, Autom..

[2]  Zongxia Jiao,et al.  Adaptive Robust Control of DC Motors With Extended State Observer , 2014, IEEE Transactions on Industrial Electronics.

[3]  Maria Letizia Corradini,et al.  Actuator Failure Identification and Compensation Through Sliding Modes , 2007, IEEE Transactions on Control Systems Technology.

[4]  Xidong Tang,et al.  Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application , 2007, Autom..

[5]  Gang Tao,et al.  Virtual Grouping based adaptive actuator failure compensation for MIMO nonlinear systems , 2005, IEEE Transactions on Automatic Control.

[6]  Suresh M. Joshi,et al.  Adaptive actuator failure compensation for parametric strict feedback systems and an aircraft application , 2003, Autom..

[7]  R. Bodson,et al.  Multivariable adaptive algorithms for reconfigurable flight control , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[8]  Jin Jiang,et al.  Design of reconfigurable control systems using eigenstructure assignments , 1994 .

[9]  Liang Yan,et al.  High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties , 2014, IEEE/ASME Transactions on Mechatronics.

[10]  Guido Herrmann,et al.  Proceedings of the 32nd Chinese Control Conference , 2013, CCC 2013.

[11]  Liu Chunsheng,et al.  Backstepping adaptive compensation control for a class of MIMO nonlinear systems with actuator failures , 2013, Proceedings of the 32nd Chinese Control Conference.

[12]  D. Looze,et al.  An automatic redesign approach for restructurable control systems , 1985, IEEE Control Systems Magazine.

[13]  Gang Tao,et al.  Adaptive control of systems with actuator failures , 2004, 2008 Chinese Control and Decision Conference.

[14]  Gary G. Yen.  Adaptive Control of Systems with Actuator Failures , 2005, IEEE Transactions on Automatic Control.

[15]  Jiang Chang.  Adaptive H_∞ control of a class of uncertain nonlinear systems based on RBF neural networks , 2003 .

[16]  Nhan T. Nguyen,et al.  Multiple-Model Adaptive Fault-Tolerant Control of a Planetary Lander , 2009 .

[17]  Yang Zhi-yong.  Robust Adaptive Control for a Class of Nonlinear Systems Using Backstepping Based on RBF Neural Network , 2008 .

[18]  Charalampos P. Bechlioulis,et al.  Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems , 2009, Autom..

[19]  Huijun Gao,et al.  Saturated Adaptive Robust Control for Active Suspension Systems , 2013, IEEE Transactions on Industrial Electronics.

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

[21]  Yaoxing Shang,et al.  Nonlinear Adaptive Robust Force Control of Hydraulic Load Simulator , 2012 .

[22]  Hu Shou-song.  Adaptive fault-tolerant control for multi-input-multi-output minimum-phase systems with actuator failures , 2010 .

[23]  Gang Tao,et al.  Adaptive actuator failure compensation for parametric strict feedback systems and an aircraft application , 2002, at - Automatisierungstechnik.

[24]  Mohammad Farrokhi,et al.  Robust adaptive control of uncertain non-linear systems using neural networks , 2008, Int. J. Control.

[25]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[26]  S Mohammad-Hoseini,et al.  ROBUST ADAPTIVE CONTROL OF NONLINEAR SYSTEMS USING NEURAL NETWORKS , .

[27]  Huijun Gao,et al.  Adaptive Backstepping Control for Active Suspension Systems With Hard Constraints , 2013, IEEE/ASME Transactions on Mechatronics.