Network-Based Fuzzy Decentralized Sliding-Mode Control for Car-Like Mobile Robots

In this paper, the trajectory tracking of a car-like mobile robot (CLMR) using network-based fuzzy decentralized sliding-mode control (NBFDSMC) is developed. The scaling factors and the coefficients of the sliding surface for the control of the steering angle and forward-backward velocity of a CLMR are adopted by that for the control of two motors. Due to the delay transmission of a signal through an Internet and wireless module, a revision of fuzzy decentralized sliding-mode control (FDSMC) with suitable sampling time (i.e., NBFDSMC) is accomplished by the quality-of-service (QoS). The proposed control can track a reference trajectory without the requirement of a mathematical model. Only the information of the upper bound of system knowledge (including the dynamics of the CLMR, the delay feature of Internet network, and wireless module) is required to select the suitable scaling factors and coefficients of sliding surface such that an excellent performance is obtained. In addition, the stability of the closed-loop system in the presence of time-varying delay is addressed. Finally, a sequence of experiments including the control of unloaded CLMR and the trajectory tracking of CLMR is carried out to consolidate the usefulness of the proposed control system

[1]  Dragoslav D. Šiljak,et al.  Large-Scale Dynamic Systems: Stability and Structure , 1978 .

[2]  Ebrahim H. Mamdani,et al.  A linguistic self-organizing process controller , 1979, Autom..

[3]  Karl Johan Åström,et al.  Computer-Controlled Systems: Theory and Design , 1984 .

[4]  Mark W. Spong,et al.  Bilateral control of teleoperators with time delay , 1989 .

[5]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[6]  Guang-Chyan Hwang,et al.  A stability approach to fuzzy control design for nonlinear systems , 1992 .

[7]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[8]  John Y. Hung,et al.  Variable structure control: a survey , 1993, IEEE Trans. Ind. Electron..

[9]  Ying-Shieh Kung,et al.  A fuzzy controller improving a linear model following controller for motor drives , 1994, IEEE Trans. Fuzzy Syst..

[10]  C L Hwang,et al.  A Thin and Deep Hole Drilling Using a Fuzzy Discrete Sliding Mode Control with a Woodpeckering Strategy , 1995 .

[11]  C. Hwang.  Fourier series neural network-based adaptive variable structure control for servo systems with friction , 1997 .

[12]  Leszek Podsedkowski.  Path planner for nonholonomic mobile robot with fast replanning procedure , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[13]  Frank L. Lewis,et al.  Control of a nonholonomic mobile robot using neural networks , 1998, IEEE Trans. Neural Networks.

[14]  Chunshien Li,et al.  Fuzzy control of unknown multiple-input-multiple-output plants , 1999, Fuzzy Sets Syst..

[15]  Saverio Mascolo,et al.  Smith's principle for congestion control in high-speed data networks , 2000, IEEE Trans. Autom. Control..

[16]  S. Munir,et al.  Internet based teleoperation using wave variables with prediction , 2001, 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556).

[17]  F. Mazenc,et al.  Global asymptotic stabilization for chains of integrators with a delay in the input , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[18]  Chih-Lyang Hwang,et al.  Robust discrete variable structure control with finite-time approach to switching surface , 2002, Autom..

[19]  Simon X. Yang,et al.  Analysis and design of an embedded fuzzy motion controller for a behavior-based nonholonomic mobile robot , 2003, Proceedings of the 2003 IEEE International Symposium on Intelligent Control.

[20]  Y. Tipsuwan,et al.  Control methodologies in networked control systems , 2003 .

[21]  Mo-Yuen Chow,et al.  Gain adaptation of networked DC motor controllers based on QoS variations , 2003, IEEE Trans. Ind. Electron..

[22]  Tzuu-Hseng S. Li,et al.  Implementation of human-like driving skills by autonomous fuzzy behavior control on an FPGA-based car-like mobile robot , 2003, IEEE Trans. Ind. Electron..

[23]  Chih-Lyang Hwang,et al.  Optimal and reinforced robustness designs of fuzzy variable structure tracking control for a piezoelectric actuator system , 2003, IEEE Trans. Fuzzy Syst..

[24]  Max Q.-H. Meng,et al.  Real-time collision-free motion planning of a mobile robot using a Neural Dynamics-based approach , 2003, IEEE Trans. Neural Networks.

[25]  Teodiano Freire Bastos Filho,et al.  A new mobile robot control approach via fusion of control signals , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).