13 April 2015 Study on application of adaptive fuzzy control and neural network in the automatic leveling system
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Proceedings Volume 9522, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II; 952213 (2015) https://doi.org/10.1117/12.2179681
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China
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.
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Xiping Xu, Xiping Xu, Zizhao Zhao, Zizhao Zhao, Weiyong Lan, Weiyong Lan, Lei Sha, Lei Sha, Cheng Qian, Cheng Qian, } "Study on application of adaptive fuzzy control and neural network in the automatic leveling system", 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; https://doi.org/10.1117/12.2179681
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