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Warianty tytułu
Języki publikacji
Abstrakty
This paper presents a self-tuning fuzzy PD controller designed to improve a control strategy for a wheeled mobile robot. The 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.
Wydawca
Czasopismo
Rocznik
Tom
Strony
11--20
Opis fizyczny
Bibliogr. 20 poz., tab., rys., wykr.
Twórcy
autor
- Warsaw University of Technology, Institute of Control and Industrial Electronics
Bibliografia
- [1] Nou, H., et al. Fault-tolerant Control Systems: Design and Practical Applications. London: Springer-Verlag, 2009.
- [2] Ducard, J.J.D. Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles. London: Springer-Verlag, 2009.
- [3] Goupil, P. “AIRBUS state of the art and practices on FDI and FTC in flight control system”. Control Engineering Practice 19.6 (2011): 524–539.
- [4] Zou, A.-M., and K.D. Kumar. “Adaptive fuzzy fault--tolerant attitude control of spacecraft”. Control Engineering Practice 19.1 (2011): 10–21.
- [5] Prakash, J., S.C. Patwardhan, and S.L. Shah. “Design and implementation fault tolerant model predictive control scheme on a simulated model of a three-tank hybrid system”. Conference on Control and Fault Tolerant Systems (SysTol), Nice, France, 6–8 October 2010.
- [6] Ji, M., et al. “Hybrid Fault Adaptive Control of a Wheeled Mobile Robot”. IEEE/ASME Transactions on Mechatronics 8.2 (2003): 226–233.
- [7] Hong, D., S.A. Velinsky, and X. Feng. “Verifaction of a Wheeled Mobile Robot Dynamic Model and Control Ramifications”. ASME Journal of Dynamic Systems, Measurement, and Control 121.1 (1999): 58–63.
- [8] Yamamoto, Y., and X. Yun. “Coordinating Locomotion and Manipulation of a Mobile Manipulator”. IEEE Transactions on Automatic Control 39.6 (1994): 1326–1332.
- [9] Isidori, A. Nonlinear Control Systems. London: Springer-Verlag, 1995.
- [10] Nijmeijer, H., A.J. Van der Schaft. Nonlinear Dynamical Control Systems. New York: Springer-Verlag, 1990.
- [11] Spong, M.W., S. Hutchinson, and M. Vidyasagar. Robot Modeling and Control. USA: John Wiley&Sons, 2006.
- [12] Jordan, A., T. Kaczorek, and P. Myszkowski. Linearyzacja Nieliniowych Równań Różniczkowych. Białystok: Politechnika Białostocka, 2007 [in Polish].
- [13] Yamamoto, Y., and X. Yun. “Coordinating Locomotion and Manipulation of a Mobile Manipulator”. In Proc. of the 31st IEEE Conference on Decision and Control. 16–18 December 1992, Tucson, Arizona, 1992: 2643–2648.
- [14] Samson, C., and K. Ait-Abderrahim. “Feedback control of a nonholonomic wheeled cart in cartesian space”. In Proc. of 1991 IEEE International Conference on Robotics and Automation. 9–11 April 1991, Sacramento, California, 1991: 1136–1141.
- [15] Borenstein, J., et al. “Mobile robot positioning — Sensors and techniques”. Journal of Robotic Systems 14.4 (1997):231–249.
- [16] Cuesta, F., and A. Ollero. Intelligent Mobile Robot Navigation. Berlin: Springer-Verlag, 2005.
- [17] Chang, Y., Y. Lwin, and Y. Yamamoto. “Sensor-based Trajectory Planning Strategy for Non-holonomic Mobile Robot with Laser Range Sensors”. IEEE International Symposium on Industrial Electronics(ISIE 2009). Seoul, Korea, July 2009: 1755–1760.
- [18] Li, T-H.S., S-J. Chang, and W. Tong. “Fuzzy target tracking control of autonomous mobile robots by using infrared sensors”. IEEE Transactions on Fuzzy Systems 12.4 (2004): 491–501.
- [19] Srebro, A., “Java simulator for an autonomous mobile robot operating in the presence of sensor faults”. 5th International PhD Students and Young Scientists Conference, Warsaw, Poland, 13–16 September 2010.
- [20] Moradi, M.H., M.A. Johnson, and J. Crowe. PID control: New Identifi cation and Design Methods. London: Springer, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-730beffd-5ed5-4b6d-b583-eda83f6d817e
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