一种基于理想度与粗糙数多属性决策的复杂非线性系统设计方法

中国机械工程

一种基于理想度与粗糙数多属性决策的复杂非线性系统设计方法

宫金良1;滕学芳2;张彦斐3

1.山东理工大学机械工程学院，淄博，255049
2.歌尔科技有限公司，青岛，266000
3.山东理工大学农业工程与食品科学学院，淄博，255049

出版日期:2020-02-25 发布日期:2020-04-17
基金资助:
国家自然科学基金资助项目（61303006）；
山东省引进顶尖人才“一事一议”专项经费资助项目；
山东省优秀中青年科学家科研奖励基金资助项目（BS2012ZZ009）；
山东省重点研发计划资助项目（2019GNC106127）；
淄博市校城融合项目（2017ZBXC151）

A Design Method of Complex Nonlinear Systems Based on Ideal Degree and Rough Number Multiple Attribute Decision

GONG Jinliang1;TENG Xuefang2;ZHANG Yanfei3

1.School of Mechanical Engineering,Shandong University of Technology,Zibo,Shandong,255049
2.Goertek Technology Limited Company,Qingdao,Shandong,266000
3.School of Agricultural Engineering and Food Science,Shandong University of Technology,Zibo,Shandong,255049

Online:2020-02-25 Published:2020-04-17

摘要/Abstract

摘要： 针对产品概念设计阶段设计特性及需求的模糊不确定性，提出了一种基于理想度与粗糙数多属性决策的复杂非线性系统设计方法。确定目标技术系统集合与超系统集合，对子系统进行理想化水平求解；构建系统功能结构模型和产品设计特性层次结构图，并基于粗糙数求解权重因子；计算得出设计需求相对评价结果，确定目标子系统复杂性；借助发明问题解决理论消除系统复杂性。下肢外骨骼工程实例验证了该方法的可行性和有效性。

关键词: 理想度, 粗糙集理论, 发明问题解决理论, 设计过程复杂性, 非线性系统, 创新设计

Abstract: Aiming at fuzzy uncertainty of design features and requirements in the conceptual design stage of products, a design method of complex nonlinear systems based on ideal degree and rough number multi-attribute decision was proposed. The set of target technical systems and the set of super systems were determined, and the subsystem was solved at the ideal level. A functional structure model and the product design characteristics hierarchy diagram were established. Based on rough number, the weight factor was calculated. Then the relative evaluation results of design requirements were calculated, and complexity of the target subsystems was analyzed. The system complexity was eliminated by using TRIZ . The feasibility and effectiveness of the proposed method were verified by an example of lower extremity exoskeleton engineering.

Key words: ideal degrees, rough set theory, theory of inventive problem solving(TRIZ), design-centric complexity, nonlinear system, innovative design

中图分类号:

TH122

宫金良1;滕学芳2;张彦斐3. 一种基于理想度与粗糙数多属性决策的复杂非线性系统设计方法[J]. 中国机械工程.

GONG Jinliang1;TENG Xuefang2;ZHANG Yanfei3. A Design Method of Complex Nonlinear Systems Based on Ideal Degree and Rough Number Multiple Attribute Decision[J]. China Mechanical Engineering.

参考文献

[1]LU S C Y, SUH N P. Complexity in Design of Technology System[J]. CIRP Annals—Manufacturing Technology, 2009, 58(1):157-160.

[2]LU S C Y, LIU A. Subjectivity and Objectivity in Design Decisions[J]. CIRP Annals—Manufacturing Technology, 2011, 60(1):161-164.

[3]张鹏,张建辉,董娅凡,等. 基于附加效应的设计过程复杂性分析过程模型[J].计算机集成制造系统, 2018, 24(2): 444-454.

ZHANG Peng, ZHANG Jianhui, DONG Yafan, et al. Analysis Process Model of Design-centric Complexity Based on Additional Effect[J]. Computer Integrated Manufacturing Systems,2018,24(2): 444-454.

[4]李玉鹏,连晓振,卢成,等. 基于混合模糊多属性决策的复杂产品模块划分方案评价[J].上海交通大学学报, 2017, 51(11):1374-1382.

LI Yupeng, LIAN Xiaozhen, LU Cheng, et al. Evaluation Approach to Rank Module Partition Schemes of Complex Products Based on Hybrid Fuzzy Multi-attribute Decision Making[J]. Journal of Shanghai Jiao Tong University, 2017, 51(11):1374-1382.

[5]CZINKI A, HENTSCHEL C. Solving Complex Problems and TRIZ[J]. Procedia CIRP, 2016,39:27-32.

[6]CˇACˇO M, KOHR R, HRCˇEK S, et al. Use the Method of TRIZ in Optimizing Automated Machine for Ultrasonic Welding[J]. Procedia Engineering, 2017, 192: 80-85.

[7]平恩顺, 檀润华, 孙建广. 基于TRIZ的机械产品突破性创新设想产生过程研究[J]. 中国机械工程, 2014, 25(18): 2439-2446.

PING Enshun, TAN Runhua, SUN Jianguang. Research on Ideas Generation Process for Mechanical Product Radical Innovation Based on TRIZ[J]. China MechanicalEngineering, 2014, 25(18):2439-2446.

[8]ZHOU Jianqiang, GUI Fangzhi, ZHAO Yanwei, et al. Model and Application of Product Conflict Problem with Integrated TRIZ and Extenics for Low-carbon Design[J]. Procedia Computer Science, 2017, 122: 384-391.

[9]LIU Boyuan, HUANG Shuangxi, FAN Wenhui, et al. Data Driven Uncertainty Evaluation for Complex Engineered System Design[J]. Chinese Journal of Mechanical Engineering, 2016, 29(5):889-900.

[10]TAHA Z, SOEWARDI H, DAWAL S Z M. Axiomatic Design Principles in Analysing the Ergonomics Design Parameter of a Virtual Environment[J]. International Journal of Industrial Ergonomics,2014,44(3):368-373.

[11]张鹏,董娅凡,张换高,等.设计过程复杂性理论与TRIZ理论集成复杂机电系统功能分解过程模型[J]. 机械工程学报, 2016, 52(23):17-24.
ZHANG Peng, DONG Yafan, ZHANG Huangao, et al. Functional Decomposition Process Model for Complex Electromechanical Based on Design-centric Complexity and TRIZ[J]. Journal of Mechanical Engineering, 2016, 52(23): 17-24.

[12]鲍宏,胡迪,张城,等.基于进化潜力分析的产品低碳创新设计[J]. 计算机集成制造系统, 2018, 24(8): 2053-2060.

BAO Hong, HU Di, ZHANG Cheng, et al. Innovative Design Method for Low-carbon Product Based on Evolution Potential Analysis[J]. Computer Integrated Manufacturing Systems, 2018, 24(8):2053-2060.

[13]于洪,王国胤,姚一豫.决策粗糙集理论研究现状与展望[J]. 计算机学报,2015(8):1628-1639.

YU Hong, WANG Guoyin, YAO Yiyu. Current Research and Future Perspectives on Decision-theoretic Rough Sets[J]. Chinese Journal of Computers, 2015(8): 1628-1639.

[14]JIA X, SHANG L, ZHOU B, et al. Generalized Attribute Reduct in Rough Set Rheory[J]. Knowledge-Based Systems, 2016, 91(C):204-218.

[15]MIT N, BOTSALI F M,KALYONCU M, et al. Design and Actuator Selection of a Lower Extremity Exoskeleton[J]. ASME Transactions on Mechatronics, 2014, 19(2):623-632.

[16]BOGUE R. Robotic Exoskeletons: a Review of Recent Progress[J]. Industrial Robot, 2015,42(1):5-10.