Abstract：Controller design is one of the key techniques for wheeled robot. For high speed autonomous vision navigation robot, the controller should have good robustness,high control precision and rigid time limitation In this paper, we propose a hybrid fuzzy logic control algorithm by combining the conventional PID algorithm and fuzzy logic algorithm. The algorithm has been verified by experiments, and the results show that it has good real time performance, robustness and high control precision, and can meet the needs for high-speed autonomous wheeled robot based on vision navigation.
[1] 王宏,何克忠,张钹.智能车辆的辅助驾驶和自主导航[J].机器人,1997,19(2):155-160. [2] 张朋飞何克忠等.多功能室外智能移动机器人实验平台--THMR-V[J].机器人,2002,22(2):97-101. [3] 李伟,Janocha Hartmut.一种高效能的机器人模糊控制方案[J].自动化学报,1995,21(4):400-409. [4] Kramer U, RohrG. A fuzzy model driver behavior: Computer Simulation and Experimental Result[A].IFAC Symposium, Analysis, Design and Evaluation of Man-Machine Systems, Baden-Baden [C].Germany, 1982, 937-949. [5] Hessburg T, Tomizuka M. Fuzzy logic control for lateral vehicle guidance[J].IEEE Control System Magazine, Aug, 1994, 300-313. [6] Wu J C, Liu T S. A fuzzy model of rider control for a motorcycle undergoing lane change [J].International Journal of Vehicle Design,1994,15 (1/2): 134-142. [7] Xiao Yan, Zhang Su Wen. An international model approach in the modeling of human preview control [J].IEEE Systems, Man, and Cybernetics Conference Proceedings, 1988, Ⅱ: 876-887. [8] Yamaguchi H. Automatic transmission shift schedule control using fuzzy logic[R].SAE Paper, 1993,93076: 455-463. [9] Che-wun Hong. A fuzzy throttle controller for dynamic driving patten simulation [J].International Journal of Vehicle Design, 1995,16 (2/3): 800-813. [10] Ernst Dieter Dickmanns,The development of machine vision for road vehicles in the last decade[A].IEEE Intelligent Vehicle Symposium 2002[C].1221-1234. [11] 孙增圻等.智能控制理论与技术[M].清华大学出版社,1997年. [12] 王学慧,田成方.微机模糊控制理论及其应用[M].电子工业出版社,1987年.
