Research of Vehicle Trajectory Tracking Based on Human-Simulated Intelligent Control

Wei Zhong Zhang; Gang Chen; Li Ming Hu; Tao Wang; Shi Tang Cui; Qiang Jiang

doi:10.4028/www.scientific.net/AMR.940.375

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 940Research of Vehicle Trajectory Tracking Based on...

Research of Vehicle Trajectory Tracking Based on Human-Simulated Intelligent Control

Abstract:

As unmanned ground vehicle is a nonlinear time-varying system, it is difficult to describe the accurate mathematical model. To solve this problem, a control algorithm of vehicle trajectory tracking based Human-Simulated Intelligent Control (HSIC) is proposed, and feature model set, control mode set and reasoning mode set are designed. Finally, this method and traditional preview follower PID algorithm are compared with each other in experimental way. The results show that such method has small dependence on the model with better control effect and overall stability.

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Machinery, Materials Science and Engineering Applications 2014

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Periodical:

Advanced Materials Research (Volume 940)

Pages:

375-379

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.940.375

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Online since:

June 2014

Authors:

Wei Zhong Zhang*, Gang Chen, Li Ming Hu, Tao Wang, Shi Tang Cui, Qiang Jiang

Keywords:

Human-Simulated Intelligent Control (HSIC), Trajectory Tracking, Unmanned Ground Vehicle

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* - Corresponding Author

References

[1] Divya Aneesh. Tracking Controller of Mobile Robot[C]/2012 Internation Conference on Computing, Electronics and Electrical Technologies [ICCEET]. Tamil Nadu, India: [s. n. ], 2012: 343-349.

DOI: 10.1109/icceet.2012.6203785

Google Scholar

[2] Moustris G P and Tzafestas S G. Switching fuzzy tracking control robots under curvature constraints [J]. Control Engineering Practice, 2011, 9(1): 45-53.

DOI: 10.1016/j.conengprac.2010.08.008

Google Scholar

[3] Dierks T, S. jagannathan. Control of nonholonomic mobile robot: Back Stepping Kinemtics into Dynamics[C]/16th IEEE International Conference on Control Application Part of IEEE Multi-conference on systems and Control, Singapore, 2007: 94-99.

DOI: 10.1109/cca.2007.4389212

Google Scholar

[4] Guo Lie, Huang Xiaohui and Ge Pingshu. Lane changing trajectory trcking control for intelligent vehicle on curved road based on backstepping[J]. Journal of Jilin University. 2013, 43(2): 321-328.

Google Scholar

[5] Zhang Yangming, Liu Guorong and Yang Xiaoliang. Mobile robot trajectory tracking control based on sliding mode variable structure[J]. Computer Engineering. 2013, 39(5): 160-164.

Google Scholar

[6] Li Zushu and Tu Yaqing. Human-Simulated Intelligent Control[M]. National Defence Industry Press, Beijing(2003).

Google Scholar

[7] Wu Gongxing. Study of the maneuverability and intelligent control for unmanned surface vehicle[D]. Harbin Engineering University(2010).

Google Scholar

[8] Sun Dihua, Lin Bing and Cui Mingyue. HSIC Predictive Control of Inspection Vehicle Teleoperation with Variable Time[J]. Control Engineering of China. 2012, 19(2): 249-253.

Google Scholar

[9] Liu　Chengjun, Xue Fangzheng and Li Zushu. Human simulated intelligent contol for dynamic walking of biped robot[J]. Journal of Chongqing University. 2013, 36(2): 45-50.

Google Scholar