郭宗环,谢志江,宋代平,齐 凯.基于改进蚁群算法的风洞试验俯仰机构运动误差优化[J].农业机械学报,2016,47(7):375-381.
Guo Zonghuan,Xie Zhijiang,Song Daiping,Qi Kai.Error Optimization of Pitching Mechanism Motion in Wind Tunnel Test Based on Improved Ant Colony Algorithm[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(7):375-381.
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基于改进蚁群算法的风洞试验俯仰机构运动误差优化   [下载全文]
Error Optimization of Pitching Mechanism Motion in Wind Tunnel Test Based on Improved Ant Colony Algorithm   [Download Pdf][in English]
投稿时间:2016-04-07  
DOI:10.6041/j.issn.1000-1298.2016.07.051
中文关键词:  俯仰机构  风洞试验  运动精度  初始误差  蚁群算法  误差优化
基金项目:国家自然科学基金项目(U1530138)
作者单位
郭宗环 重庆大学 
谢志江 重庆大学 
宋代平 重庆大学 
齐 凯 重庆大学 
中文摘要:为提高风洞试验俯仰机构的运动精度,减少初始误差,提出了基于改进蚁群算法的俯仰机构运动误差优化分析方法。针对影响俯仰机构运动精度的3个误差源——弧形导轨半径R、连杆长度L、直线导轨安装位置yOa,建立俯仰机构运动误差分析数学模型;推导了可用于分析误差的改进蚁群算法模型,将俯仰机构3个误差源的求解转换为对目标函数优化问题的求解,采用改进算法进行误差优化。对比传统数值方法,改进后的蚁群算法对误差求解精度达到10-5mm级,有效地避免了结构自身产生的初始误差源对计算结果的影响。
Guo Zonghuan  Xie Zhijiang  Song Daiping  Qi Kai
Chongqing University,Chongqing University,Chongqing University and Chongqing University
Key Words:pitch mechanism  wind tunnel test  motion precision  original errors  ant colony algorithm  error optimization
Abstract:In order to enhance the motion precision and reduce the initial error of the pitching mechanism which is used in the wind tunnel experiment, a novel error optimizing method was proposed. This new error optimizing approach is based on an improved ant colony algorithm. Firstly, three independent error sources which have influences on the motion precision of pitching mechanism were found and the mathematical models of three error sources including the radius of arc guide rail R, the length of connecting rod L and the installation position of linear guide rail yOa were established, respectively. The effect of each error source with the method of controlling variables was analyzed. Secondly, according to mathematical models of each error source, the mathematical model of three combined errors in the pitching mechanism was established. Based on the derived ant colony algorithm which is used in the error analyzing, the error optimizing problem could be converted to an optimizing problem of multiplied objectives. Finally, compared with results which utilize traditional Newton-Raphson iterative method, the motion accuracy of improved ant colony algorithm was higher, and the accuracy can reach a level of 10-5 mm. The compared results could also prove that the improved algorithm has a better global optimizing ability and it could avoid undesired effects of initial error in the structures when adopting the improved algorithm. The correctness and effectiveness of this method were confirmed by simulation with Matlab. In conclusion, the proposed approach was certificated to be effective and applicable in the engineering field.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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