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足球机器人运动控制算法研究
引用本文:余群明,王会方,张骏,周兵,朱德康.足球机器人运动控制算法研究[J].湖南大学学报(自然科学版),2006,33(6):42-45.
作者姓名:余群明  王会方  张骏  周兵  朱德康
作者单位:湖南大学,机械与汽车工程学院,湖南,长沙,410082
基金项目:国家留学基金资助项目(2004-52),湖南省青年骨干教师培养计划
摘    要:在建立基于小转角的足球机器人运动学模型的基础上,提出了单神经元自适应PID控制算法和基于Kalman滤波的PID控制算法.通过仿真分析,系统在单神经元自适应PID控制下,超调量、上升时间和峰值时间分别是常规PID控制下的30.7%,54.3%和72.7%,完全满足足球机器人现场比赛竞技性的要求;基于Kalman滤波的PID控制能够抑制干扰,提高控制精度,控制效果明显改善.

关 键 词:足球机器人  运动控制  单神经元自适应PID算法  Kalman滤波
文章编号:1000-2472(2006)06-0042-04
收稿时间:05 9 2006 12:00AM
修稿时间:2006-05-09

The Algorithm of Motion Control for Soccer Robot
YU Qun-ming,WANG Hui-fang,ZHANG Jun,ZHOU Bing,ZHU De-kang.The Algorithm of Motion Control for Soccer Robot[J].Journal of Hunan University(Naturnal Science),2006,33(6):42-45.
Authors:YU Qun-ming  WANG Hui-fang  ZHANG Jun  ZHOU Bing  ZHU De-kang
Institution:College of Mechanical and Automotive Engineering, Hunan Univ,Changsha,Hunan 410082,China
Abstract:The motion model of soccer robot based on little angle was constructed.The mono-neural self-adaptive PID control algorithm and PID control algorithm based on Kalman filter were proposed.The simulation results indicated that the overshooting number,risetime and peak value of the system controlled by mono-neural self-adaptive PID were respectively 30.7%,54.3% and 72.7% of those by routine PID control,which totally satisfied the requirements for soccer robot athletic competitions;PID control algorithm based on Kalman filter could preferably restrain the disturbance,enhance the control precision,and improve the control result.
Keywords:soccer robot  motion control  mono-neural self-adaptive PID control algorithm  Kalman filter
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