Please wait a minute...
J4  2011, Vol. 45 Issue (9): 1622-1629    DOI: 10.3785/j.issn.1008-973X.2011.09.019
机械工程     
复杂装备模糊配置的反馈式解耦设计
任彬,张树有
浙江大学 流体传动及控制国家重点实验室, 浙江 杭州 310027
Feedback decoupling design of fuzzy configuration
of complex equipment
REN Bin , ZHANG Shu-you
State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China
 全文: PDF  HTML
摘要:

针对模糊配置设计中的耦合问题,提出一种反馈式解耦的设计方法.该方法将模糊配置设计划分为用户域、功能域、物理域和过程域.其中,功能域向物理域的映射过程可通过相对增益矩阵进行表达,不同形式的相对增益矩阵描述不同的模糊配置设计,包括理想设计、解耦设计和耦合设计.对于耦合设计,构建由多粒度结构组成的过程域,多粒度结构用于结构变异.过程域作为耦合设计的反馈补偿域,通过调节功能需要与设计参数之间的相对增益矩阵实现模糊配置的反馈式解耦设计.结合企业实例,将反馈式解耦设计应用在精密塑料注射成型装备的模糊配置过程中,从而实现复杂装备的快速响应设计.

Abstract:

A new method of feedback decoupling design was proposed to resolve the coupling issues of fuzzy configuration design. The fuzzy configuration design is divided into customer domain, functional domain, physical domain, and process domain. Among them, functional domain is mapped to physical domain by the relative gain matrix. Different forms of the relative gain matrix describe different configuration designs, including idealized design, decoupling design and coupling design. In view of the coupling design of fuzzy configuration, the process domain is built, including multi-granularity structures for the variation. The process domain is considered as feedback compensation of coupling design, where the relative gain matrix is adjusted by the structural variation, to realize the feedback decoupling design of fuzzy configuration. Finally, the method was verified in the fuzzy configuration design of a precision plastic injection molding equipment to achieve the fast response of design of complex equipment.

出版日期: 2011-09-01
:  TP 391  
基金资助:

国家“973” 重点基础研究发展规划资助项目(2011CB706506);国家科技支撑计划资助项目(2007BAF13B02);浙江省科技计划资助项目(2010C31085).

通讯作者: 张树有,男,教授,博导.     E-mail: zsy@zju.edu.cn
作者简介: 任彬(1981-),女,博士后,从事虚拟样机仿真技术、产品数字化设计的研究.E-mail:renbin1981@zju.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章  

引用本文:

任彬,张树有. 复杂装备模糊配置的反馈式解耦设计[J]. J4, 2011, 45(9): 1622-1629.

REN Bin , ZHANG Shu-you. Feedback decoupling design of fuzzy configuration
of complex equipment. J4, 2011, 45(9): 1622-1629.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2011.09.019        https://www.zjujournals.com/eng/CN/Y2011/V45/I9/1622

[1] 阴向阳,童秉枢,滕东兴,等.产品配置到产品结构的转化算法[J] .清华大学学报:自然科学版,2000, 40 (5): 58-61.
YIN Xiangyang, TONG Bingshu, TENG Dongxing, et al. Symbol semantic model supporting axiomatic design[J]. Journal of Tsinghua University:Science and Technology,2000,40(5): 58-61.
[2] 刘晓冰,袁长峰,高天一,等.基于特征面向客户的层次型产品配置模型[J].计算机集成制造系统CIMS,2003,9(7):527-531.
LIU Xiaobing, YUAN Changfeng, GAO Tianyi, et al. Layered product configuration model based on feature and faced to customer[J].Computer Integrated Manufacturing Systems, 2003,9(7): 527-531.
[3] 张劲松,王启付,刘清华,等.基于模型的产品智能化配置研究[J].机械工程学报,2003,39(6):128-134.
ZHANG Jinsong, WANG Qifu, LIU Qinghua, et al. Research on model based intelligent product configuration[J].Chinese Journal of Mechanical Engineering, 2003,39(6):128-134.
[4] 楼健人,伊国栋,张树有,等. 基于知识的产品可拓配置与进化设计技术研究[J].浙江大学学报:工学版,2007,41(3):466-470.
LOU Jianren, YI Guodong, ZHANG Shuyou, et al. Research on product extensible configuration and evolution design based on knowledge [J]. Journal of Zhejiang University:Engineering Science, 2007, 41(3):466-470.
[5] SEGURA A, ARIZKUREN I, ARANBURU I, et al. High quality parametric visual product configuration systems over the web [C]∥Proceedings of the Tenth International Conference on 3D Web Technology. Bangor, United Kingdom: ACM, 2005:159-167.
[6] MARCILIO M, THIAGO T B, DONALD C. Decisionmaking coordination in collaborative product configuration [C]∥Proceedings of the ACM Symposium on Applied Computing. Fortaleza, Brazil: ACM, 2008:108-113.
[7] SUH N P, BELL A C, GOSSARD D C. On an axiomatic approach to manufacturing and manufacturing system [J]. Journal of Engineering for Industry, 1978, 100(5):127-130.
[8] LO S, HELANDER M. Use of axiomatic design principles for analysing the complexity of humanmachine systems [J]. Theoretical Issues in Ergonomics Science, 2007, 8(2): 147-169.
[9] JOHANNESSON H L, SODERBERG R. Structure and matrix models for tolerance analysis from configuration to detail design [J]. Research in Engineering Design, 2000, 12(2):112-125.
[10] KULAK O, KAHRAMAN C. Fuzzy multiattribute selection among transportation companies using axiomatic design and analytic hierarchy process [J]. Information Science, 2005, 170(2/4): 191-210.
[11] CARNEVALLI J A, MIGUEL P A C, CALARGE F A. Axiomatic design application for minimising the difficulties of QFD usage [J]. International Journal of Production Economics, 2010, 125(1): 1-12.
[12] 蔡池兰,肖人彬.公理设计下基于系统创新思维的解耦方法[J]. 机械工程学报,2006,42(11):184-191.
CAI Chilan, XIAO Renbin. Structured approach to decouple coupled design in axiomatic design based on sit [J]. Chinese Journal of Mechanical Engineering, 2006,42(11): 184-191.
[13] 曹鹏彬,肖人彬,库琼.公理设计过程中耦合设计问题的结构化分析方法[J]. 机械工程学报,2006,42(3):46-55.
CAO Pengbin, XIAO Renbin, KU Qiong. Structural analytical approach to coupled design in design with axiomatic design [J]. Chinese Journal of Mechanical Engineering, 2006,42(3): 46-55.
[14] 张国军, 王翠雨,程强,等. 面向可适应设计的耦合功能集割裂规划[J]. 华中科技大学学报:自然科学版,2008, 36(6):1-3.
ZHANG Guojun, WANG Cuiyu, CHENG Qiang, et al. Adaptable designoriented tearing and programming of coupled function set [J]. Huazhong Universyty of Sciences & Technology: Natural Science Edition, 2008, 36(6): 1-3.
[15] 胡晖, 韩朝晖,刘建国,等.多变量反馈解耦控制系统研究[J]控制工程,2004,11(6):500-502.
HU Hui, HAN Chaohui, LIU Jianguo, et al. On multivariable feedback decoupling control systems[J]. Control Engineering of China, 2004, 11(6): 500-502.
[16] 涂承媛,曾衍钧. 基于知识的多变量非线性系统变结构解耦控制[J].中国工程科学,2001,3(10):48-52.
TU Chengyuan,ZENG Yanjun. Knowledgebased variable structure decoupling control of a nonlinear multivariable system [J]. Engineering Science, 2001,3(10): 48-52.
[17] 徐承伟. 模糊关系系统的反馈解耦[J]. 自动化学报, 1989,15(6):537-539.
XU Chengwei. The Decoupling of fuzzy systems: A feedback approach [J]. Acta Automatica Sinica, 1989, 15(6):537-539.

[1] 赵建军,王毅,杨利斌. 基于时间序列预测的威胁估计方法[J]. J4, 2014, 48(3): 398-403.
[2] 崔光茫, 赵巨峰, 冯华君, 徐之海, 李奇, 陈跃庭. 非均匀介质退化图像快速仿真模型的建立[J]. J4, 2014, 48(2): 303-311.
[3] 张天煜, 冯华君, 徐之海, 李奇, 陈跃庭. 基于强边缘宽度直方图的图像清晰度指标[J]. J4, 2014, 48(2): 312-320.
[4] 刘中, 陈伟海, 吴星明, 邹宇华, 王建华. 基于双目视觉的显著性区域检测[J]. J4, 2014, 48(2): 354-359.
[5] 王相兵,童水光,钟崴,张健. 基于可拓重用的液压挖掘机结构性能方案设计[J]. J4, 2013, 47(11): 1992-2002.
[6] 王进, 陆国栋, 张云龙. 基于数量化一类分析的IGA算法及应用[J]. J4, 2013, 47(10): 1697-1704.
[7] 刘羽, 王国瑾. 以已知曲线为渐进线的可展曲面束的设计[J]. J4, 2013, 47(7): 1246-1252.
[8] 胡根生,鲍文霞,梁栋,张为. 基于SVR和贝叶斯方法的全色与多光谱图像融合[J]. J4, 2013, 47(7): 1258-1266.
[9] 吴金亮, 黄海斌, 刘利刚. 保持纹理细节的无缝图像合成[J]. J4, 2013, 47(6): 951-956.
[10] 陈潇红,王维东. 基于时空联合滤波的高清视频降噪算法[J]. J4, 2013, 47(5): 853-859.
[11] 朱凡,李悦,蒋 凯,叶树明,郑筱祥. 基于偏最小二乘的大鼠初级运动皮层解码[J]. J4, 2013, 47(5): 901-905.
[12] 吴宁, 陈秋晓, 周玲, 万丽. 遥感影像矢量化图形的多层次优化方法[J]. J4, 2013, 47(4): 581-587.
[13] 计瑜,沈继忠,施锦河. 一种基于盲源分离的眼电伪迹自动去除方法[J]. J4, 2013, 47(3): 415-421.
[14] 王翔,丁勇. 基于Gabor滤波器的全参考图像质量评价方法[J]. J4, 2013, 47(3): 422-430.
[15] 刘芳, 孙芸, 杨庚, 林海. 基于粒子群优化算法的社交网络可视化[J]. J4, 2013, 47(1): 37-43.