A Comparative Study of Formulations and Algorithms for Reliability-Based Co-Design Problems

被引:35
作者
Cui, Tonghui [1 ]
Allison, James T. [1 ]
Wang, Pingfeng [1 ]
机构
[1] Univ Illinois, Dept Ind & Enterprise Syst Engn, Urbana, IL 61801 USA
基金
美国国家科学基金会;
关键词
design automation; design optimization; reliability in design; systems design; uncertainty analysis; OPTIMIZATION;
D O I
10.1115/1.4045299
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
While integrated physical and control system co-design has been demonstrated successfully on several engineering system design applications, it has been primarily applied in a deterministic manner without considering uncertainties. An opportunity exists to study non-deterministic co-design strategies, taking into account various uncertainties in an integrated co-design framework. Reliability-based design optimization (RBDO) is one such method that can be used to ensure an optimized system design being obtained that satisfies all reliability constraints considering particular system uncertainties. While significant advancements have been made in co-design and RBDO separately, little is known about methods where reliability-based dynamic system design and control design optimization are considered jointly. In this article, a comparative study of the formulations and algorithms for reliability-based co-design is conducted, where the co-design problem is integrated with the RBDO framework to yield solutions consisting of an optimal system design and the corresponding control trajectory that satisfy all reliability constraints in the presence of parameter uncertainties. The presented study aims to lay the groundwork for the reliability-based co-design problem by providing a comparison of potential design formulations and problem-solving strategies. Specific problem formulations and probability analysis algorithms are compared using two numerical examples. In addition, the practical efficacy of the reliability-based co-design methodology is demonstrated via a horizontal-axis wind turbine structure and control design problem.
引用
收藏
页数:11
相关论文
共 37 条
[1]  
Alipour A., Study Rayleigh damping in structures
[2]  
uncertainties and treatments
[3]   Co-Design of an Active Suspension Using Simultaneous Dynamic Optimization [J].
Allison, James T. ;
Guo, Tinghao ;
Han, Zhi .
JOURNAL OF MECHANICAL DESIGN, 2014, 136 (08)
[4]   Multidisciplinary Design Optimization of Dynamic Engineering Systems [J].
Allison, James T. ;
Herber, Daniel R. .
AIAA JOURNAL, 2014, 52 (04) :691-710
[5]   Plant-Limited Co-Design of an Energy-Efficient Counterbalanced Robotic Manipulator [J].
Allison, James T. .
JOURNAL OF MECHANICAL DESIGN, 2013, 135 (10)
[6]  
Azad S, 2018, PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 2A
[7]  
Betts JT, 2010, ADV DES CONTROL, P1
[8]   First-order approximation methods in reliability-based design optimization [J].
Chiralaksanakul, A ;
Mahadevan, S .
JOURNAL OF MECHANICAL DESIGN, 2005, 127 (05) :851-857
[9]   Multidisciplinary dynamic optimization of horizontal axis wind turbine design [J].
Deshmukh, Anand P. ;
Allison, James T. .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2016, 53 (01) :15-27
[10]  
Deshmukh AP, 2015, P AMER CONTR CONF, P4916, DOI 10.1109/ACC.2015.7172104