A self-tuning fuzzy PD controller for a wheeled mobile robot operating in the presence of faults

Th is paper presents a self-tuning fuzzy PD controller designed to improve a control strategy for a wheeled mobile robot. Th e dynamic model of a two-wheeled mobile robot was implemented in Matlab/Simulink environment. In this paper the trajectory tracking problem for a mobile robot in the presence of positioning system faults is considered in detail. Mamdani fuzzy reasoning is used to tune the value of proportional gain Kp and derivative gain Kd of a PD controller. A few simulations comparing the classical PD controller with self-tuning fuzzy PD are reported to show advantage of the designed self-tuning controller.

[1]  Sirish L. Shah,et al.  Design and implementation fault tolerant model predictive control scheme on a simulated model of a three-tank hybrid system , 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).

[2]  Yoshio Yamamoto,et al.  Sensor-based trajectory planning strategy for non-holonomic mobile robot with laser range sensors , 2009, 2009 IEEE International Symposium on Industrial Electronics.

[3]  A Srebro,et al.  Java simulator for an autonomous mobile robot operating in the presence of sensor faults , 2010 .

[4]  Daehie Hong,et al.  Verification of a Wheeled Mobile Robot Dynamic Model and Control Ramifications , 1999 .

[5]  Hobart R. Everett,et al.  Mobile Robot Positioning - Sensors and Techniques , 1997 .

[6]  Claude Samson,et al.  Feedback control of a nonholonomic wheeled cart in Cartesian space , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[7]  Didier Theilliol,et al.  Fault-tolerant Control Systems: Design and Practical Applications , 2009 .

[8]  An-Min Zou,et al.  Adaptive fuzzy fault-tolerant attitude control of spacecraft , 2011 .

[9]  Philippe Goupil,et al.  AIRBUS state of the art and practices on FDI and FTC in flight control system , 2011 .

[10]  Tzuu-Hseng S. Li,et al.  Fuzzy target tracking control of autonomous mobile robots by using infrared sensors , 2004, IEEE Transactions on Fuzzy Systems.

[11]  Arjan van der Schaft,et al.  Non-linear dynamical control systems , 1990 .

[12]  M. Spong,et al.  Robot Modeling and Control , 2005 .

[13]  Xiaoping Yun,et al.  Coordinating locomotion and manipulation of a mobile manipulator , 1994 .

[14]  Gautam Biswas,et al.  Hybrid fault adaptive control of a wheeled mobile robot , 2003 .

[15]  Aníbal Ollero,et al.  Intelligent Mobile Robot Navigation , 2005, Springer Tracts in Advanced Robotics.

[16]  Xiaoping Yun,et al.  Coordinating locomotion and manipulation of a mobile manipulator , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[17]  A. Isidori Nonlinear Control Systems , 1985 .

[18]  Guillaume Ducard,et al.  Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles , 2009 .