Tracking Control of Mobile Robots Based on the BP Neural Network

Ying Xiong; Shi De Xiao; Shuang Jiang Lei; Feng Zha

doi:10.4028/www.scientific.net/KEM.522.618

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 522Tracking Control of Mobile Robots Based on the BP...

Tracking Control of Mobile Robots Based on the BP Neural Network

Abstract:

An intelligent tracking control system based on the micro-control unit (MCU) has been developed to control the motors by sensing the change of black guide lines. After the training of the BP Neural Network, the MCU is able to make decisions quickly and accurately for various situations during robot moving. Using MCU technology to control the motors, the system is compatible for both manual and automatic control. The experiment shows that the mobile robot could follow the change of black guide lines accurately and quickly, and stillness and out-of-orbit were effectively inhibited during moving. The proposed tracking control system based on the BP Neural Network has been verified to have high reliability.

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Periodical:

Key Engineering Materials (Volume 522)

Pages:

618-622

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.522.618

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Online since:

August 2012

Authors:

Ying Xiong, Shi De Xiao, Shuang Jiang Lei, Feng Zha

Keywords:

BP Neural Network (BPNN), MATLAB, Mobile Robot, Tracking Control

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References

[1] Yi Zhang, Yuan Luo, Taixiong Zheng etc: Mobile Robot Technology and its Applications[M]. Beijing: Electronic Industry, (2007).

Google Scholar

[2] Xiaoqin Zhang: Industry Control Computer, Vol. 23(2010)No. 6, pp.59-60.

Google Scholar

[3] Shuang Cong: Toolbox for MATLAB Neural Network Theory and its Application[M]. Heifei: University of Science and Technology Press, (2009).

Google Scholar

[4] Jianjun Fang, Shiliang Liu: Machine Tool & Hydraulics, Vol. 15(2005) NO. 3, pp.46-47.

Google Scholar

[5] Xiuzhen Li, Jiming Kong, Zhaofeng Li: Application of BP Neural Network to the Hazard Assessment of Debris Flow Based on Matlab[J]. Geotechnical Investigation & Surveying, 2010, pp.47-50.

Google Scholar

[6] Qiuzhan Zhou, Dan'E Wu, Miaoshi Wang, Xiuyuan Zhang, Fu Liu: Journal of Jilin University, Vol. 39(2010) No. 480-483.

Google Scholar

[7] Xie Youhui，Dai Wenjun，Dai Yongtao: A Method of Phase Tracking Based on Neural Network[J]. International Joint Conference on Artificial Intelligence, 2009, p.381 – 384.

DOI: 10.1109/jcai.2009.138

Google Scholar