吉林大学学报(工学版)

• • Previous Articles     Next Articles

Autonomous Mobile Robot Control Algorithm Based on Hierarchical Fuzzy Behaviors in Unknown Environments

LI Shoutao, LI Yuanchun   

  1. College of Communication Engineering,Jilin University,Changchun 130022,China
  • Received:2005-02-15 Revised:2005-03-27 Online:2005-07-01 Published:2005-07-01
  • Contact: LI Yuanchun

Abstract: A new hierarchical fuzzy behaviorbased control approach of an autonomous robot was proposed, which focused on the design on coordination and fusion of these elementary fuzzy behaviors.The elementary behaviors were achieved by fuzzy reasoning scheme, and highlevel behaviors were composed of these primitive behaviors. Neural networks were used to select and fuse different behaviors like a person, so that the motion speed and rotational velocity of the mobile robot can change smoothly, because the sharp shift of different behavior would exacerbate the absolute position errors. The feasibility of the proposed design is validated by different simulation experiments.

Key words: automatic control technology, mobile robot, navigation, hierarchical behavior, fuzzy reasoning, neural network

CLC Number: 

  • TP224
[1] XI Li-he,ZHANG Xin,SUN Chuan-yang,WANG Ze-xing,JIANG Tao. Adaptive energy management strategy for extended range electric vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1636-1644.
[2] JIANG Tao,LIN Xue-dong,LI De-gang,YANG Miao,TANG Xue-lin. Effect of control parameters on heat release rate with ANN method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1747-1754.
[3] GU Wan-li,WANG Ping,HU Yun-feng,CAI Shuo,CHEN Hong. Nonlinear controller design of wheeled mobile robot with H performance [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1811-1819.
[4] LI Zhan-dong,TAO Jian-guo,LUO Yang,SUN Hao,DING Liang,DENG Zong-quan. Design of thrust attachment underwater robot system in nuclear power station pool [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1820-1826.
[5] XU Yan,SUN Mei-shuang. Enhancing underwater image based on convolutional neural networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1895-1903.
[6] WANG De-jun, WEI Wei-li, BAO Ya-xin. Actuator fault diagnosis of ESC system considering crosswind interference [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1548-1555.
[7] YAN Dong-mei, ZHONG Hui, REN Li-li, WANG Ruo-lin, LI Hong-mei. Stability analysis of linear systems with interval time-varying delay [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1556-1562.
[8] TIAN Yan-tao, ZHANG Yu, WANG Xiao-yu, CHEN Hua. Estimation of side-slip angle of electric vehicle based on square-root unscented Kalman filter algorithm [J]. 吉林大学学报(工学版), 2018, 48(3): 845-852.
[9] ZHANG Shi-tao, ZHANG Bao, LI Xian-tao, WANG Zheng-xi, TIAN Da-peng. Enhancing performance of FSM based on zero phase error tracking control [J]. 吉林大学学报(工学版), 2018, 48(3): 853-858.
[10] LI Xiong-fei, FENG Ting-ting, LUO Shi, ZHANG Xiao-li. Automatic music composition algorithm based on recurrent neural network [J]. 吉林大学学报(工学版), 2018, 48(3): 866-873.
[11] DI Xiao-qiang, WANG Ying-zheng, LI Jin-qing, CONG Li-gang, QI Hui. Video encryption method based on hyperchaos of quantum cellular neural networks [J]. 吉林大学学报(工学版), 2018, 48(3): 919-928.
[12] WANG Lin, WANG Hong-guang, SONG Yi-feng, PAN Xin-an, ZHANG Hong-zhi. Behavior planning of a suspension insulator cleaning robot for power transmission lines [J]. 吉林大学学报(工学版), 2018, 48(2): 518-525.
[13] ZHANG Chao-yi, LI Jin-hai, YAN Yue-peng. Improved Tong detection algorithm with double thresholds [J]. 吉林大学学报(工学版), 2018, 48(2): 610-617.
[14] HU Yun-feng, WANG Chang-yong, YU Shu-you, SUN Peng-yuan, CHEN Hong. Structure parameters optimization of common rail system for gasoline direct injection engine [J]. 吉林大学学报(工学版), 2018, 48(1): 236-244.
[15] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!