Application of Fuzzy Control Theory in Obstacle Avoidance Simulation of Intelligent Wheelchair


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This paper introduces application of the fuzzy control theory in obstacle avoidance simulation of intelligent wheelchair. Aiming at the path planning problem of intelligent wheelchair, with information fuzzy theory, based on the information acquisition of ultrasonic sensors installed in the intelligent wheelchair, processed by fuzzy logic algorithm, then the fuzzy controller of fuzzy control theory was constructed in Matlab, so intelligent wheelchair obstacle avoidance simulation was conducted. The results show that this method can effectively avoid the obstacles, realize the continuous movement of intelligent wheelchair.



Edited by:

Keishi Matsuda, P.S. Pa and Wiseroad Yun




F. Li, "Application of Fuzzy Control Theory in Obstacle Avoidance Simulation of Intelligent Wheelchair", Applied Mechanics and Materials, Vol. 597, pp. 361-364, 2014

Online since:

July 2014





* - Corresponding Author

[1] Zhang Jian guo, Li Jun, Wang Fang. Intelligent wheelchair indoor navigation and obstacle avoidance simulation and computer simulation of [J]2011, (3): 203-206.

[2] Zhang Jianren, Wang Li. Fuzzy MATLAB control system (J) based onsimulation. Automation and instrumentation, 2003, (1): 6 - 8.

[3] Tomohiro Takagi, Michio Sugeno. Fuzzy identification of systems and its application to modeling and control[J]. IEEE Trans on System, Man, and Cybemetics, 1985, 15(1): 116-132.


[4] Ketal W. Multiple sensor fusion for navigation systems[C]. Proc. IEEE-IEEE Vehicle Navigationand Information Systems Conference. Seattle, 2002. 575-578.

[5] Mahajan A, Wang K. Multisensor Integration and Fusion Model That Uses a Fuzzy Inference System[J]. IEEE/ASME Transactions on Mechatronics. 2001, (6)2: 188-196.