Modeling, control and experimental verification on a two-wheeled vehicle with free inclination: An urban transportation system

Abstract This paper presents the results on the modeling and control of a two-wheeled prototype. The vehicle, named B2, like the Segway, is principally a self-balancing machine whose wheels share a common axis. However, the control objectives are different because the intended use of the two vehicles is different. The Segway behaves like an inverted pendulum (for example: when a driver leans forward, the Segway accelerates forward to prevent the passenger from falling), whereas the task of B2 will be to balance the occupants while rejecting the influence of the road and passengers. Thus, the passenger motion is a disturbance to be rejected. Furthermore, the B2 is intended as an alternative road vehicle and is not for use on sidewalks. Its goal is to reduce problems caused by vehicles in the center of towns (pollution, noise, use of the space). A Takagi–Sugeno fuzzy model has been developed from the prototype parameters. Some real-time robust PDC (Parallel Distributed Compensation) control laws with and without observers were realized in continuous time. A comparison with a linear law and robustness tests are presented. All of the final trials during the experiments were conclusive. In particular, the B2 was stabilized, and the speed followed the state point given by a joystick.

[1]  Thierry-Marie Guerra,et al.  Conditions of output stabilization for nonlinear models in the Takagi-Sugeno's form , 2006, Fuzzy Sets Syst..

[2]  Mi-Ching Tsai,et al.  Actuator fault and abnormal operation diagnoses for auto-balancing two-wheeled cart control , 2009 .

[3]  Thierry-Marie Guerra,et al.  Compensation and division control law for fuzzy models , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[4]  Shaocheng Tong,et al.  Fuzzy robust tracking control for uncertain nonlinear systems , 2002, Int. J. Approx. Reason..

[5]  Lihua Xie,et al.  Robust H/sub infinity / control for linear systems with norm-bounded time-varying uncertainty , 1992 .

[6]  Kazuo Tanaka,et al.  Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .

[7]  L. Xiaodong,et al.  New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI , 2003, Autom..

[8]  Pierre Apkarian,et al.  Parameterized linear matrix inequality techniques in fuzzy control system design , 2001, IEEE Trans. Fuzzy Syst..

[9]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[10]  Chun-Jung Chen,et al.  Motion control for a two-wheeled vehicle using a self-tuning PID controller , 2008 .

[11]  Thierry-Marie Guerra,et al.  Control laws for Takagi-Sugeno fuzzy models , 2001, Fuzzy Sets Syst..

[12]  J. Bernussou,et al.  A new robust D-stability condition for real convex polytopic uncertainty , 2000 .

[13]  Kazuo Tanaka,et al.  Model construction, rule reduction, and robust compensation for generalized form of Takagi-Sugeno fuzzy systems , 2001, IEEE Trans. Fuzzy Syst..

[14]  Thierry Marie Guerra,et al.  Robust Takagi–Sugeno fuzzy control of a spark ignition engine , 2007 .

[15]  Reza Langari,et al.  An LMI-based H fuzzy control system design with TS framework , 2000, Inf. Sci..

[16]  Kazuo Tanaka,et al.  Fuzzy control systems design and analysis , 2001 .

[17]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[18]  Antonio Sala,et al.  Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem , 2007, Fuzzy Sets Syst..

[19]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[20]  Shin'ichi Yuta,et al.  Trajectory tracking control for navigation of the inverse pendulum type self-contained mobile robot , 1996, Robotics Auton. Syst..

[21]  S. Yuta,et al.  Control of a Vehicle Subsystem for an Autonomous Mobile Robot with Power Wheeled Steerings , 1990, Proceedings of the IEEE International Workshop on Intelligent Motion Control.

[22]  Akira Ichikawa,et al.  Output stabilization of Takagi-Sugeno fuzzy systems , 2000, Fuzzy Sets Syst..

[23]  Kazuo Tanaka,et al.  An approach to fuzzy control of nonlinear systems: stability and design issues , 1996, IEEE Trans. Fuzzy Syst..

[24]  Thierry Marie Guerra,et al.  B2, an alternative two wheeled vehicle for an automated urban transportation system , 2002, Intelligent Vehicle Symposium, 2002. IEEE.