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Proceedings Paper

Study on application of adaptive fuzzy control and neural network in the automatic leveling system
Author(s): Xiping Xu; Zizhao Zhao; Weiyong Lan; Lei Sha; Cheng Qian
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Paper Abstract

This paper discusses the adaptive fuzzy control and neural network BP algorithm in large flat automatic leveling control system application. The purpose is to develop a measurement system with a flat quick leveling, Make the installation on the leveling system of measurement with tablet, to be able to achieve a level in precision measurement work quickly, improve the efficiency of the precision measurement. This paper focuses on the automatic leveling system analysis based on fuzzy controller, Use of the method of combining fuzzy controller and BP neural network, using BP algorithm improve the experience rules .Construct an adaptive fuzzy control system. Meanwhile the learning rate of the BP algorithm has also been run-rate adjusted to accelerate convergence. The simulation results show that the proposed control method can effectively improve the leveling precision of automatic leveling system and shorten the time of leveling.

Paper Details

Date Published: 13 April 2015
PDF: 9 pages
Proc. SPIE 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II, 952213 (13 April 2015); doi: 10.1117/12.2179681
Show Author Affiliations
Xiping Xu, Changchun Univ. of Science and Technology (China)
Zizhao Zhao, Changchun Univ. of Science and Technology (China)
Changchun Metrological Verification Testing Technology Research Institute (China)
Weiyong Lan, Changchun Metrological Verification Testing Technology Research Institute (China)
Lei Sha, Changchun Metrological Verification Testing Technology Research Institute (China)
Cheng Qian, Changchun Metrological Verification Testing Technology Research Institute (China)


Published in SPIE Proceedings Vol. 9522:
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II
Xiangwan Du; Jennifer Liu; Dianyuan Fan; Jialing Le; Yueguang Lv; Jianquan Yao; Weimin Bao; Lijun Wang, Editor(s)

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