Receding horizon sliding control for linear and nonlinear systems

Sliding mode control (SMC) is one of the few controller design methodologies that can be applied to highly nonlinear and uncertain systems. In most mechanical applications, a smoothed version of SMC that we call “sliding control” is employed to keep the system trajectories close to but not necessarily on a stable differential/difference manifold. In this paper, we propose an extension to the sliding control algorithm that includes a receding horizon approach. This allows the designer to incorporate information about future desired output trajectories as well as knowledge of future disturbances. In addition, it allows the designer to include bounds on the inputs and states of the system. We refer to this control methodology as receding horizon sliding control (RHSC) and evaluate its effectiveness using two example applications.

[1]  Hanz Richter,et al.  A multi-regulator sliding mode control strategy for output-constrained systems , 2011, Autom..

[2]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[3]  Francesco Borrelli,et al.  Constrained Optimal Control of Linear and Hybrid Systems , 2003, IEEE Transactions on Automatic Control.

[4]  Zhiyuan Liu,et al.  A new nonlinear model predictive control scheme for discrete-time system based on sliding mode control , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[5]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

[6]  O. Kaynak,et al.  On the stability of discrete-time sliding mode control systems , 1987 .

[7]  Masayoshi Tomizuka,et al.  Model Predictive Sliding Mode Control: For Constraint Satisfaction and Robustness , 2013 .

[8]  Run Pei,et al.  Sliding mode model predictive control with terminal constraints , 2000, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393).

[9]  Weibing Gao,et al.  Discrete-time variable structure control systems , 1995, IEEE Trans. Ind. Electron..

[10]  Hanz Richter,et al.  Robust Positively Invariant Cylinders in Constrained Variable Structure Control , 2007, IEEE Transactions on Automatic Control.

[11]  J. Christian Gerdes,et al.  Equilibrium Analysis of Drifting Vehicles for Control Design , 2009 .

[12]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[13]  J. Karl Hedrick,et al.  Robust Discrete-Time Variable Structure Control Methods , 2000 .

[14]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[15]  W. Marsden I and J , 2012 .

[16]  Hans B. Pacejka,et al.  Tire and Vehicle Dynamics , 1982 .

[17]  Andrzej Bartoszewicz,et al.  Discrete-time quasi-sliding-mode control strategies , 1998, IEEE Trans. Ind. Electron..

[18]  M. Innocenti,et al.  State constrained sliding mode controllers , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[19]  K. Furuta Sliding mode control of a discrete system , 1990 .