A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control

Abstract:

This paper presents a method of solving the problem of mobile robot Obstacle avoidance and path planning in an unknown dynamic environment. A linear model of the two-wheeled nonholonomic robot controlled using Model predictive control controller. For obstacle avoidance Fuzzy logic control is used. The ultrasonic sensors are used for positioning and identifying an obstacle. The proposed method is successfully tested in simulations. Obstacle avoiding technique is very useful in real life, this technique can also use as a vision belt of blind people by changing the IR sensor by a kinetic sensor ,which is on type of microwave sensor whose sensing range is very high and the output of this sensor vary in according to the object position changes.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 922-927
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.922
• Online since: April 2014
• Authors: Bayanjargal Baasandorj, Aamir Reyaz, Park Joung Ho, Cha Wang Cheol, Deok Jin Lee, Kil To Chong*
• Keywords: Fuzzy Logic, Model Predictive Controller, Obstacle Avoidance

References

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DOI: 10.1016/s0165-0114(02)00506-7