Feedback Stabilization of Nonholonomic Drift-Free Systems Using Adaptive Integral Sliding Mode Control

This article presents a novel stabilizing control algorithm for nonholonomic drift-free systems. The control algorithm is based on adaptive integral sliding mode control technique. In order to utilize the benefit of integral sliding mode control, extended Lie bracket system is used as a nominal system which can easily be asymptotically stabilized. Firstly the original nonholonomic drift-free system is augmented by adding its missing Lie brackets and some unknown adaptive parameters. Secondly the controller and the adaptive laws are designed in such a way that the behaviour of the augmented system is similar to that of the nominal system on the sliding surface and the addition of missing Lie brackets in the original system can be compensated adaptively. The proposed method is applied on two nonholonomic drift-free systems including the Brockett’s system and the hopping robot in flight phase. The controllability Lie Algebra of the Brockett’s system has Lie brackets of depth one, whereas the hopping robot model in flight phase contains Lie brackets of depth one and two. The effectiveness of the proposed technique is verified through simulation studies.

[1]  Zhongping JIANG,et al.  Stabilization of nonlinear time-varying systems: a control lyapunov function approach , 2009, J. Syst. Sci. Complex..

[2]  Amal Karray,et al.  Adaptive and sliding mode control of a mobile manipulator actuated by DC motors , 2014, Int. J. Autom. Control..

[3]  Fazal-ur-Rehman Discontinuous steering control for nonholonomic systems with drift , 2005 .

[4]  Jianying Yang,et al.  Stabilization for a class of nonholonomic perturbed systems via robust adaptive sliding mode control , 2010, Proceedings of the 2010 American Control Conference.

[5]  Luis Gracia,et al.  Integrated sliding-mode algorithms in robot tracking applications , 2013 .

[6]  Wei Lin,et al.  Control of high-order nonholonomic systems in power chained form using discontinuous feedback , 2002, IEEE Trans. Autom. Control..

[7]  Jean-Baptiste Pomet Explicit design of time-varying stabilizing control laws for a class of controllable systems without drift , 1992 .

[8]  Keum Shik Hong,et al.  Sliding-mode and proportional-derivative-type motion control with radial basis function neural network based estimators for wheeled vehicles , 2014, Int. J. Syst. Sci..

[9]  Gao Yanfeng,et al.  Back-Stepping and Neural Network Control of a Mobile Robot for Curved Weld Seam Tracking , 2011 .

[10]  Peng Wu,et al.  Automatic train operation based on adaptive terminal sliding mode control , 2015, Int. J. Autom. Comput..

[11]  Franck Plestan,et al.  Adaptive robust controller based on integral sliding mode concept , 2016, Int. J. Control.

[12]  S. Sastry,et al.  Nonholonomic motion planning: steering using sinusoids , 1993, IEEE Trans. Autom. Control..

[13]  Chitralekha Mahanta,et al.  Integral backstepping sliding mode control for underactuated systems: swing-up and stabilization of the Cart-Pendulum System. , 2013, ISA transactions.

[14]  Saleh Mobayen,et al.  Fast terminal sliding mode controller design for nonlinear second-order systems with time-varying uncertainties , 2015, Complex..

[15]  Hao-Chi Chang,et al.  Sliding mode control on electro-mechanical systems , 1999 .

[16]  Giuseppe Oriolo,et al.  Modelling and Control of Nonholonomic Mechanical Systems , 1995 .

[17]  Ranjit Kumar Barai,et al.  Nonlinear state feedback controller design for underactuated mechanical system: a modified block backstepping approach. , 2014, ISA transactions.

[18]  Shenmin Song,et al.  Three-dimensional guidance law based on adaptive integral sliding mode control , 2016 .

[19]  Zoubir Ahmed-Foitih,et al.  A self-tuning fuzzy inference sliding mode control scheme for a class of nonlinear systems , 2012 .

[20]  Hongbo Zhou,et al.  Neural network-based sliding mode adaptive control for robot manipulators , 2011, Neurocomputing.

[21]  Zexiang Li,et al.  Dynamics and optimal control of a legged robot in flight phase , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[22]  Ilya Kolmanovsky,et al.  Developments in nonholonomic control problems , 1995 .

[23]  Fangzheng Gao,et al.  Adaptive Stabilization for a Class of Stochastic Nonlinearly Parameterized Nonholonomic Systems with Unknown Control Coefficients , 2014 .

[24]  K. Khayati,et al.  A new approach for adaptive sliding mode control: Integral/exponential gain law , 2016 .

[25]  Ricardo Martínez-Soto,et al.  Optimization of Interval Type-2 Fuzzy Logic Controllers for a Perturbed Autonomous Wheeled Mobile Robot Using Genetic Algorithms , 2009, Soft Computing for Hybrid Intelligent Systems.

[26]  Leila Notash,et al.  Adaptive sliding mode control with uncertainty estimator for robot manipulators , 2010 .

[27]  Yan Zhao,et al.  Global asymptotic stability controller of uncertain nonholonomic systems , 2013, J. Frankl. Inst..

[28]  Xiuyun Zheng,et al.  Adaptive output feedback stabilization for nonholonomic systems with strong nonlinear drifts , 2009 .

[29]  Xiangdong Liu,et al.  A novel adaptive high-order sliding mode control based on integral sliding mode , 2014 .