Adaptive control of MIMO mechanical systems with unknown actuator nonlinearities based on the Nussbaum gain approach

This paper investigates MIMO mechanical systems with unknown actuator nonlinearities. A novel Nussbaum analysis tool for MIMO systems is established such that unknown time-varying control coefficients are tackled. In contrast to existing literatures on continuous-time systems, the newly-developed Nussbaum tool focuses on extending the traditional Nussbaum result from one dimensional case to the multiple one. Specifically, not only the multiple unknown input coefficients are extended to the time-varying, but also the limitation of the prior knowledge of coefficients' upper and lower bounds is removed. Furthermore, an adaptive robust controller associated with the proposed tool is presented. The asymptotic tracking of MIMO mechanical systems is guaranteed with the help of the Lyapunov Theorem. Finally, a simulation example is provided to examine the validity of the proposed scheme.

[1]  Tianping Zhang,et al.  Adaptive Fuzzy Control for a Class of MIMO Nonlinear Systems with Unknown Dead-zones , 2007 .

[2]  Shuzhi Sam Ge,et al.  Adaptive model reference control of a class of MIMO discrete-time systems with compensation of nonparametric uncertainty , 2008, 2008 American Control Conference.

[3]  Xudong Ye,et al.  Decentralized Adaptive Stabilization of Large-Scale Nonlinear Time-Delay Systems With Unknown High-Frequency-Gain Signs , 2011, IEEE Transactions on Automatic Control.

[4]  Jing Zhou,et al.  Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance , 2011, IEEE Transactions on Automatic Control.

[5]  Ying Zhang,et al.  Adaptive backstepping control design for systems with unknown high-frequency gain , 2000, IEEE Trans. Autom. Control..

[6]  Xudong Ye,et al.  Decentralized adaptive regulation with unknown high-frequency-gain signs , 1999, IEEE Trans. Autom. Control..

[7]  Shuzhi Sam Ge,et al.  Adaptive output feedback NN control of a class of discrete-time MIMO nonlinear systems with unknown control directions , 2009, 2009 7th Asian Control Conference.

[8]  R. Nussbaum Some remarks on a conjecture in parameter adaptive control , 1983 .

[9]  Shaocheng Tong,et al.  Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone , 2012, Science China Information Sciences.

[10]  Xun Gong,et al.  Modeling and robust backstepping sliding mode control with Adaptive RBFNN for a novel coaxial eight-rotor UAV , 2015, IEEE/CAA Journal of Automatica Sinica.

[11]  Zhengtao Ding,et al.  Adaptive control of non‐linear systems with unknown virtual control coefficients , 2000 .

[12]  Changyun Wen,et al.  Adaptive Backstepping Control of Uncertain Systems: Nonsmooth Nonlinearities, Interactions or Time-Variations , 2008 .

[13]  Bin Xu,et al.  Robust adaptive neural control of flexible hypersonic flight vehicle with dead-zone input nonlinearity , 2015 .

[14]  Tieshan Li,et al.  Adaptive Output Feedback Control of Uncertain Nonlinear Systems With Hysteresis Nonlinearity , 2012, IEEE Transactions on Automatic Control.

[15]  Frank L. Lewis,et al.  Robot Manipulator Control: Theory and Practice , 2003 .

[16]  Dianhui Wang,et al.  A robust adaptive neural networks controller for maritime dynamic positioning system , 2013, Neurocomputing.

[17]  Mohammad Mehdi Arefi,et al.  Observer‐based adaptive neural control of uncertain MIMO nonlinear systems with unknown control direction , 2013 .

[18]  Shuzhi Sam Ge,et al.  Adaptive control of a class of discrete-time MIMO nonlinear systems with uncertain couplings , 2010, Int. J. Control.

[19]  Shuzhi Sam Ge,et al.  Output Feedback NN Control for Two Classes of Discrete-Time Systems With Unknown Control Directions in a Unified Approach , 2008, IEEE Transactions on Neural Networks.

[20]  Yongsheng Zhao,et al.  Adaptive Autopilot Design of Time-Varying Uncertain Ships With Completely Unknown Control Coefficient , 2007, IEEE Journal of Oceanic Engineering.

[21]  Subhash Rakheja,et al.  Adaptive variable structure control of a class of nonlinear systems with unknown Prandtl-Ishlinskii hysteresis , 2005, IEEE Transactions on Automatic Control.

[22]  Bin Jiang,et al.  Guaranteed transient performance based control with input saturation for near space vehicles , 2014, Science China Information Sciences.

[23]  Nhan Nguyen Bi-Objective Optimal Control Modification Adaptive Control for Systems with Input Uncertainty , 2012 .

[24]  Jialu Du,et al.  Adaptive Robust Nonlinear Ship Course Control Based on Backstepping and Nussbaum Gain , 2007, Intell. Autom. Soft Comput..

[25]  S. Ge,et al.  Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[26]  X. Ye,et al.  Adaptive nonlinear design without a priori knowledge of control directions , 1998, IEEE Trans. Autom. Control..

[27]  Qinglei Hu,et al.  Neural network‐based adaptive attitude tracking control for flexible spacecraft with unknown high‐frequency gain , 2009 .

[28]  Oussama Khatib,et al.  Springer Handbook of Robotics , 2007, Springer Handbooks.

[29]  Jianbo Su,et al.  Trajectory tracking of vertical take-off and landing unmanned aerial vehicles based on disturbance rejection control , 2015, IEEE/CAA Journal of Automatica Sinica.

[30]  Shuzhi Sam Ge,et al.  Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints , 2011, Autom..

[31]  Qing Wang,et al.  Asynchronous H∞ control for unmanned aerial vehicles: switched polytopic system approach , 2015, IEEE/CAA Journal of Automatica Sinica.

[32]  Abdesselem Boulkroune,et al.  Fuzzy adaptive controller for MIMO nonlinear systems with known and unknown control direction , 2010, Fuzzy Sets Syst..

[33]  Shuzhi Sam Ge,et al.  Robust adaptive output feedback control of a class of discrete‐time nonlinear systems with nonlinear uncertainties and unknown control directions , 2013 .

[34]  E. Ryan A nonlinear universal servomechanism , 1994, IEEE Trans. Autom. Control..

[35]  Mark W. Spong,et al.  Robot dynamics and control , 1989 .

[36]  Zhengtao Ding,et al.  Adaptive consensus output regulation of a class of nonlinear systems with unknown high-frequency gain , 2015, Autom..

[37]  Jianming Wei,et al.  Adaptive iterative learning control for a class of nonlinear time-varying systems with unknown delays and input dead-zone , 2014, IEEE/CAA Journal of Automatica Sinica.

[38]  Jie Zhao,et al.  Adaptive dynamic surface control with Nussbaum gain for course-keeping of ships , 2014, Eng. Appl. Artif. Intell..

[39]  Yungang Liu,et al.  Output-feedback Adaptive Control for a Class of Nonlinear Systems with Unknown Control Directions , 2007 .

[40]  B. Måtensson,et al.  Remarks on adaptive stabilization of first order non-linear systems , 1990 .

[41]  Shuzhi Sam Ge,et al.  Output feedback adaptive control of a class of nonlinear discrete-time systems with unknown control directions , 2009, Autom..

[42]  Ajith Abraham,et al.  A Trajectory Tracking Robust Controller of Surface Vessels With Disturbance Uncertainties , 2014, IEEE Transactions on Control Systems Technology.

[43]  Yun Zhang,et al.  Adaptive control of robotic systems with unknown actuator nonlinearities and control directions , 2015 .

[44]  Gang Tao,et al.  Adaptive Control of Systems with Actuator and Sensor Nonlinearities , 1996 .

[45]  Xiaobo Li,et al.  Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function , 2014, IEEE Transactions on Automatic Control.

[46]  Mou Chen,et al.  Robust tracking control of uncertain MIMO nonlinear systems with application to UAVs , 2015, IEEE/CAA Journal of Automatica Sinica.

[47]  Yan Lin,et al.  A Robust Adaptive Dynamic Surface Control for Nonlinear Systems with Hysteresis Input , 2010 .