Please wait a minute...
Chinese Journal of Engineering Design  2003, Vol. 10 Issue (3): 140-143    DOI:
    
Optim ization of robot soccer’s basic motion based on fuzzy control
 JIANG  Xian-Hua1, XIONG  Rong2, ZHOU  Ke2, WU  Ming-Guang1
1.Institute of System Engineering,Zhejiang University,Hangzhou 310027,China;
2.National Key Lab of Industrial Control Technology,Zhejiang University,Hangzhou 310027,China
Download: HTML     PDF(161KB)
Export: BibTeX | EndNote (RIS)      

Abstract  Robot soccer integrates multi advanced technologyes,such as image processing,communication,automation control and optimization decision,and so on.This paper analyses the kinematical model of robot soccer.Considering time-lag,nonlinear and other characters of the system which can not be overcome by traditional PID algorithm ,the authors applied fuzzy control to optimizing robot’S basic motion.By presenting the design of fuzzy control system and the simulation of system by Matlab,the authors find that the precision of robot can be improved by using fuzzy contro1.

Key wordsrobot soccer      fuzzy control      basic motion      optimizing strategy     
Published: 28 June 2003
Cite this article:

JIANG Xian-Hua, XIONG Rong, ZHOU Ke, WU Ming-Guang. Optim ization of robot soccer’s basic motion based on fuzzy control. Chinese Journal of Engineering Design, 2003, 10(3): 140-143.

URL:

https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2003/V10/I3/140


基于模糊控制的足球机器人底层动作优化

足球机器人是集成视觉技术、通讯技术、伺服控制技术、决策对象等多种技术的综合系统,是当前人工智能和机器人领域的研究热点之一. 根据足球机器人的运动学模型,考虑到系统的时滞性、非线性等特点,提出模糊控制并优化机器人底层动作的方法. 详细介绍了足球机器人模糊控制系统的设计过程,并通过仿真验证了该方法的可行性.

关键词: 足球机器人,  模糊控制,  底层动作,  优化策略 
[1] Hui ZHANG,Yong-fei ZHU,Xue-fei LIU,Xiang-rong XU. Research on trajectory tracking control of metallurgical industrial robot based on fuzzy iterative Q-learning[J]. Chinese Journal of Engineering Design, 2022, 29(5): 564-571.
[2] DING Shu-yong, ZHANG Zheng, DING Wen-jie, LIN Yong. Optimization design of multi-lane stereo garage and research on vehicle access strategy[J]. Chinese Journal of Engineering Design, 2021, 28(4): 443-449.
[3] WANG Yan, LIU Jing-yu, LI Guang, ZHANG Jia-bo, LIU Xing, ZHOU Xin-xin. Design of navigation control system of AGV based on IGPS and Mecanum wheel[J]. Chinese Journal of Engineering Design, 2020, 27(5): 662-670.
[4] YUAN Kai, LIU Yan-jun, SUN Jing-yu, LUO Xing. Research on control of underwater manipulator based on fuzzy RBF neural network[J]. Chinese Journal of Engineering Design, 2019, 26(6): 675-682.
[5] DUAN Zhi-qiang, GUO Yan-qing, WANG Long. Research on high precision control of large inertia special turntable[J]. Chinese Journal of Engineering Design, 2019, 26(2): 162-169.
[6] HU Jun-feng, LI Yong-ming, ZHENG Chang-hu. Position precision compensation method of a micro-manipulation stage based on fuzzy control[J]. Chinese Journal of Engineering Design, 2018, 25(2): 123-130.
[7] XIE Miao, LIU Zhi-xiang, MAO Jun. Research on control strategy of parking tower hydraulic system and its power-saving technology[J]. Chinese Journal of Engineering Design, 2017, 24(1): 115-120.
[8] LI Fu-gui, LONG Wei, LUO Liang, ZHAN Cong-lai. The application of predictive fuzzy control in the liquefied natural gas peak-shaving system[J]. Chinese Journal of Engineering Design, 2016, 23(1): 95-100.
[9] LIU Zhi-guang, YU Fei, ZHANG Liang, LI Tie-jun, AN Zhan-fa. Force tracking research for robot based on fuzzy adaptive impedance control algorithm[J]. Chinese Journal of Engineering Design, 2015, 22(6): 569-574.
[10] Lv Kuan-zhou1, CHEN Su-xia2, HUANG Quan-zhen1. Flexible manipulator trajectory tracking and vibration fuzzy control[J]. Chinese Journal of Engineering Design, 2015, 22(1): 78-83.
[11] LEI Fei,YANG Hong-bo. Research on a bandwidth-limited active control system for commercial vehicle cab suspension based on the fuzzy theory[J]. Chinese Journal of Engineering Design, 2014, 21(1): 32-37.
[12] WAN Xiao-Feng, LEI Ji-Tang, YI Qi-Jun, JIA Jin-Xue, ZHANG Yan-Fei, DING Mao. Clutch engaging control of AMT for starting based on speed feedback[J]. Chinese Journal of Engineering Design, 2013, 20(5): 441-445.
[13] GU Xing, ZHONG Ming, YAO Yu-Feng. Position control for sampling arm based on self-adapting fuzzy-PID[J]. Chinese Journal of Engineering Design, 2012, 19(5): 385-390.
[14] GUO Kong-Hui, SUI Ji-Kui, SONG Xiao-Lin, GUO Yao-Hua, XUE Bing. Analysis of fuzzy sky hook semi active control method for high speed railway vehicle lateral damper[J]. Chinese Journal of Engineering Design, 2012, 19(3): 174-181.
[15] WANG Lin-Lin, HU Hui-Yi, TIAN Hui-Yi, TANG Xing-Lun. Application of selfadaptive fuzzy control on the automatic verticality control of rotary drilling rig[J]. Chinese Journal of Engineering Design, 2011, 18(4): 298-302.