基于最小二乘法的执行器系统机械属性评价

张业明; 蔡茂林

doi:10.13700/j.bh.1001-5965.2013.0493

基于最小二乘法的执行器系统机械属性评价

doi: 10.13700/j.bh.1001-5965.2013.0493

张业明¹,
蔡茂林²

1. 河南理工大学机械与动力工程学院, 焦作 454000;
2. 北京航空航天大学自动化科学与电气工程学院, 北京 100191

基金项目:

国家自然科学基金资助项目（U1204107）；河南省高等学校精密制造技术与工程重点学科开放实验室开放基金资助项目（PMTE201318A）；河南理工大学博士基金资助项目（B2012-101）；河南省教育厅科学技术研究重点资助项目（14B460033）

详细信息

作者简介:
张业明（1979-），男，山东肥城人，副教授，tazhangyeming@gmail.com.

中图分类号: TH111
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出版历程
- 收稿日期: 2013-08-24
- 网络出版日期: 2014-07-20

Mechanical properties evaluation based on least squares for actuators system

Zhang Yeming¹,
Cai Maolin²

1. School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China;
2. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 分析了机械属性评价方法的优缺点，给出了气动执行器和电动执行器系统机械属性的主要评价因素，并列出了执行器系统评价因素数据获取的3个途径，提出了一种基于最小二乘法的执行器系统组合权重机械属性评价方法.首先运用信息熵理论和层次分析法（AHP，Analytic Hierarchy Process）理论，分别得到两种执行器系统的机械属性权重，然后运用最小二乘法求得执行器系统的组合权重，计算出执行器系统综合评价值，选出最优方案，最后运用具体实例进行了评价方法验证.结果表明，以特定工况下的气动和电动执行器系统为例，运用组合权重机械属性评价方法，得出气动执行器系统比电动执行器系统机械属性更好，符合现场工况；执行器系统的组合权重机械属性评价结果的标准偏差比信息熵和层次分析-模糊综合评价（AHP-FCE，AHP-Fuzzy Comprehensive Evaluation）的都小.
- 执行器 /
- 机械属性 /
- 最小二乘法 /
- 信息熵 /
- 组合权重
Abstract: The advantages and disadvantages of mechanical properties evaluation methods were analyzed. The main evaluation factors of mechanical properties of pneumatic and electric actuators system were given, and three ways of acquiring actuator system evaluation factor data were listed. A method of mechanical properties combination weight evaluation for actuator systems based on least squares was proposed. Firstly, two kinds of attribute weights of actuators system mechanical properties were obtained with information entropy theory and analytic hierarchy process (AHP) theory. Then the combination weights of actuators system were obtained with least squares method, and the comprehensive evaluation values of actuators system were calculated for selecting the most excellent solution. Finally the new evaluation method authentication was carried out with the specific examples. Results show that, as a case of pneumatic and electric actuators system under the specific conditions, the mechanical properties of pneumatic actuator system are better than that of electric actuator system with the combination weight mechanical properties evaluation method, and the result fits the on-site conditions. The standard deviation of the new method for actuators system is smaller than that of information entropy and AHP-fuzzy comprehensive evaluation (AHP-FCE).
- actuators /
- mechanical properties /
- least squares /
- information entropy /
- combination weights

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参考文献(15)

[1]	邓军, 余忠华, 吴昭同.基于信息熵的概念设计的质量评价[J].浙江大学学报:工学版, 2009, 43(8):1480-1484 Deng Jun, Yu Zhonghua, Wu Zhaotong.Quality evaluation of quality design based on entropy[J].Journal of Zhejiang University:Engineering Science, 2009, 43(8):1480-1484(in Chinese)
[2]	Xie P, Du Y H.Crack rotor dynamic feature analysis and diagnosis method based on information entropy[J].Chinese Journal of Mechanical Engineering, 2009, 45(1):195-199
[3]	Wu Z H, Hsieh S J, Li J Z.Sensor deployment based on fuzzy graph considering heterogeneity and multiple-objectives to diagnose manufacturing system[J].Robotics and Computer-Integrated Manufacturing, 2013, 29(1):192-208
[4]	Sun S G, He Y Y.Evaluation of slope stability based on fuzzy grey element-matter model based on properties of mechanics[J].Advanced Materials Research, 2013, 788:586-589
[5]	Blum P, Mackay R, Riley M S. Understanding the impact of hydro-mechanical coupling on performance assessment of deep waste disposal[J].Elsevier Geo-Engineering Book Series, 2004, 2:237-242
[6]	胡方, 黄建国, 张群飞.基于信息熵的水下航行器灰色评估方法研究[J].西北工业大学学报, 2007, 25(4):547-551 Hu Fang, Huang Jianguo, Zhang Qunfei.Improving effectiveness evaluation of underwater vehicle system using information entropy theory[J].Journal of Northwestern of Polytechnical University, 2007, 25(4):547-551(in Chinese)
[7]	彭海军, 孙启国. 基于信息熵的机械产品质量多属性决策[J].机械设计与制造, 2007(4):139-140 Peng Haijun, Sun Qiguo.Mechanical products quality multiple decision based on information entropy[J].Machinery Design & Manufacture, 2007(4):139-140(in Chinese)
[8]	张业明, 蔡茂林. 气动执行器与电动执行器的运行能耗分析[J].北京航空航天大学学报, 2010, 36(5):560-563 Zhang Yeming, Cai Maolin.Energy consumption analysis for pneumatic actuator and electric actuator[J].Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(5):560-563(in Chinese)
[9]	田力威, 曹安得. 基于信息熵的蚁群聚类组合算法的研究[J].计算机应用研究, 2011, 28(4):1269-1271 Tian Liwei, Cao Ande.Analysis of ant colony clustering combination based on information entropy[J].Application Research of Computers, 2011, 28(4):1269-1271(in Chinese)
[10]	刘华, 陈维平, 赵海东, 等.基于效用函数逼近的绿色产品评价方法[J].机械工程学报, 2005, 41(10):17-22 Liu Hua, Chen Weiping, Zhao Haidong, et al.Evaluation approximation to utility function of green product[J].Chinese Journal of Mechanical Engineering, 2005, 41(10):17-22(in Chinese)
[11]	Zhang Y M, Cai M L.Study on mechanical properties evaluation for pneumatic actuator and electric actuator based on information entropy[C]//2010 International Conference on Mechanic Automation and Control Engineering (MACE2010).Piscataway, NJ:IEEE, 2010:3384-3388
[12]	Wang L X, Zhang Y M, Cai M L.Mechanical properties evaluation for pneumatic actuator and electric actuator based on AHP-FCE[J].Journal of Computers, 2011, 6(5):1032-1039
[13]	袁杰, 史海波, 刘昶.基于最小二乘拟合的模糊隶属函数构建方法[J].控制与决策, 2008, 23(11):1263-1266 Yuan Jie, Shi Haibo, Liu Chang.Construction of fuzzy membership functions based on least squares fitting[J].Control and Decision, 2008, 23(11):1263-1266 (in Chinese)
[14]	张根保, 庞继红, 陈国华, 等.数控装备质量的模糊物元综合评价方法[J].重庆大学学报, 2011, 34(1):36-41 Zhang Genbao, Pang Jihong, Chen Guohua, et al.A comprehensive evaluation method of fuzzy matter element for CNC equipment quality[J].Journal of Chongqing University, 2011, 34(1): 36-41(in Chinese)
[15]	杜彦斌, 曹华军, 刘飞, 等.基于熵权与层次分析法的机床再制造方案综合评价[J].计算机集成制造系统, 2011, 17(1): 84-88 Dun Yanbin, Cao Huajun, Liu Fei, et al.Evaluation of machine tool remanufacturing scheme based on entropy weight and AHP[J].Computer Integrated Manufacturing Systems, 2011, 17(1): 84-88(in Chinese)