Maintenance of Robots Equilibrium in a Noisy Environment With Fuzzy Controller
Tasks that involve controlling complex systems have been less prevalent due to the lack of analytical methods that can adequately handle uncertainty and concisely represent knowledge in practical control systems. Recent research and application employing non-analytical methods of computing such as fuzzy logic, evolutionary computation, and neural networks have demonstrated the utility and potential of these paradigms for intelligent control of complex systems. In this paper we present a fuzzy logic controller for a mobile robot which can handle external forces and maintain robots equilibrium in a noisy environment. These forces with different angles and magnitudes deviate the robot from its path, but the fuzzy logic controller handle them properly and place the mobile robot in the right path to destination. Based on its design simplicity, its ease of implementation, and its robustness properties, a fuzzy logic controller is used in this paper to control robots equilibrium.
fuzzy logic controller environmental noise mobile robot
Laleh Jatali Hossein Ghafarian
Computer Science dept.Iran University of Science and Technology Tehran,Iran
国际会议
上海
英文
1664-1669
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）