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非完整移动机器人轨迹跟踪的最优模糊控制
引用本文:吴忻生,任华瑛.非完整移动机器人轨迹跟踪的最优模糊控制[J].华南理工大学学报(自然科学版),2004,32(3):44-49.
作者姓名:吴忻生  任华瑛
作者单位:华南理工大学,自动化科学与工程学院,广东广州,510640
基金项目:国家 8 6 3计划智能机器人主题 (980 5 - 19),国家自然科学基金资助项目 (6 9974 0 15 ),广东省自然科学基金资助项目 (990 5 83)
摘    要:针对非完整机器人动力学的高度非线性、不确定性以及不能采用连续状态反馈实现渐近稳定等特点,提出了基于遗传算法的非完整移动机器人轨迹跟踪的最优模糊控制方案,通过遗传算法对模糊规则进行优化,有效地确定出模糊逻辑控制器的结构和参数,从而达到理想的跟踪特性,数字仿真实例表明这种方法是可行的。

关 键 词:移动机器人  轨迹跟踪  模糊控制  遗传算法
文章编号:1000-565X(2004)03-0044-06
修稿时间:2003年6月27日

An Optimized Fuzzy Control Approach to the Trajectory Tracking of Nonholonomic Mobile Robots
Wu Xin-sheng Ren Hua-ying.An Optimized Fuzzy Control Approach to the Trajectory Tracking of Nonholonomic Mobile Robots[J].Journal of South China University of Technology(Natural Science Edition),2004,32(3):44-49.
Authors:Wu Xin-sheng Ren Hua-ying
Abstract:Aiming at the high nonlinearity and uncertainty of the dynamics of nonholonomic mobile robots,as well as the fact that the robot can not be asymptotically stabilized by the continuous state feedback method,an optimized fuzzy control approach to the trajectory tracking of the robots was proposed on the basis of genetic algorithm. The fuzzy rules of the approach were optimized by genetic algorithm,and the structure as well as the parameters of the fuzzy logic controller was effectively determined,thus achieving desired tracking performance. The numerical simulation results indicate the efficiency of the proposed approach.
Keywords:mobile robot  trajectory tracking  fuzzy control  genetic algorithm
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