Constrained multiobjective robust optimization of a bistable mechanism for inertial switch  

作　　者：LIU Min WANG WeiDong ZHU YingMin YUAN YangBo NIU YanXu DONG LinXi WANG ChenYing JIANG Kyle CHEN GuiMin 

机构地区：[1]School of Mechano-Electronic Engineering,Xidian University,Xi’an 710071,China [2]School of Electronic Information,Hangzhou Dianzi University,Hangzhou 310018,China [3]Collaborative Innovation Center of High-End Manufacturing Equipment,Xi’an Jiaotong University,Xi’an 710049,China [4]School of Mechanical Engineering,University of Birmingham,Birmingham B152TT,UK [5]School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China

出　　处：《Science China(Technological Sciences)》2023年第11期3186-3196,共11页中国科学（技术科学英文版）

基　　金：supported by the National Key Research and Development Program of China(Grant No.2022YFB3204800);the National Natural Science Foundation of China(Grant No.52375573);the Youth Innovation Team of Shanxi Universities(Grant No.2022-63)。

摘　　要：This paper proposes an optimization method for finding the optimal design of a bistable mechanism with a desired performance that is robust to structural and material uncertainties.Using interval numbers to characterize the uncertainties in the structural parameters and materials,we present a nonprobabilistic multiobjective optimization model and transform it into a single objective optimization model using a penalty function.The sensitivity of the mechanical performance of bistable structures to uncertain parameters was analyzed,and the design parameters with notable effects on the bistable performance were identified as optimization variables.A neural network-based proxy model for the nonlinear characteristics of the bistable mechanism was established,and its accuracy was validated through finite element outcomes.Based on this model,a two-layer nested genetic algorithm was employed to solve the multiobjective robust optimization problem of the bistable structures with critical forces and a second stable position.The effectiveness of the optimization method was verified by comparing it with the finite element and experimental results.The proposed method was applied in the design of silicon-based inertial switches.

关 键 词：MULTIOBJECTIVE robust optimization UNCERTAINTY interval analysis bistable mechanism 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM564[自动化与计算机技术—控制科学与工程]