Technology of Graphic & Image
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3493-3495

New method of MAP fixed-point selection based on improved PSO algorithm

Cheng Zhun
Lu Kai
Qian Yu
Lu Zhen
Lu Zhixiong
College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

Abstract

In order to improve the driving effect of the control system based on MAP and reduce the storage capacity of the control system effectively, this paper proposed a new method for selecting the fixed points in the MAP based on the improved particle swarm optimization algorithm. Taking the MAP of hydraulic mechanical continuously variable transmission ratio control system as an example, it divided 2 variables of the abscissa coordinate in its definition domain, and used the improved particle swarm optimization algorithm to select the number and location of coordinate points in each section after equal division. The selection process was based on the principle of multi-objective optimization, which combined the actual values of 100 randomly generated points with the average error of linear interpolation of MAP and the number of selected scalar points. In order to improve the efficiency of the algorithm, it improved the iterative criteria, the inertia weight and the learning factor of the particle swarm optimization. The results show that the improved particle swarm optimization algorithm has the advantages of fast convergence speed and high optimization accuracy, and the MAP with better control effect can be made with less calibration data.

Foundation Support

江苏省研究生科研与实践创新计划资助项目(KYCX17_0647)
国家重点研发计划资助项目(2016YFD0701103)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0218
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Graphic & Image
Pages: 3493-3495
Serial Number: 1001-3695(2019)11-066-3493-03

Publish History

[2019-11-05] Printed Article

Cite This Article

程准, 陆凯, 钱煜, 等. 基于改进PSO算法的MAP图标定点选择新方法 [J]. 计算机应用研究, 2019, 36 (11): 3493-3495. (Cheng Zhun, Lu Kai, Qian Yu, et al. New method of MAP fixed-point selection based on improved PSO algorithm [J]. Application Research of Computers, 2019, 36 (11): 3493-3495. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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