Structure design of six-component strain-gauge-based transducer for minimum cross-interference via hybrid optimization methods

  • Xiang LiEmail author
  • Hui He
  • Hongqiang Ma
Industrial Application


Cross-interference is an important performance index for multi-channel strain-gauge-based transducer. In this study, a comprehensive optimization model for minimum cross-interference while satisfying constraints of principal sensitivity and cross-sensitivity is presented for a six-component wheel force transducer (WFT) structure design. The WFT structure has a “T”-type elastic body other than the conventional Maltese cross-type. Based on structure finite element analysis and circuit analysis, the quantified principal sensitivity, cross-sensitivity, and cross-interference are discussed. Then, a mechanical-electrical multidisciplinary optimization model is constructed which has a complex objective function and many constraints. Trial computations show that this model has multiple local optimal points. Hybrid optimization methods including simulated annealing (SA) algorithm and sequence quadratic programming (SQP) algorithm are then adopted to obtain a better design. The optimization results reveal that, for the studied “T”-type transducer structure, relatively stronger lateral beam and weaker longitudinal beam are helpful to achieve low cross-interference. The performance of the optimized structure is verified by comparison with the benchmark structure and by stepwise loading. The presented comprehensive optimization model has good generality applicable to different-type multi-channel strain-gauge-based transducer structure design.


Strain-gauge-based transducer Cross-interference Mechanical-electrical multidisciplinary optimization Hybrid optimization methods 


Funding information

This research is supported by China Academy of Aerospace Aerodynamics (Grant Number 201720141150) and National Science Foundation of China (Grant Number 50875024).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Aerospace EngineeringBeijing Institute of TechnologyBeijingChina
  2. 2.China Academy of Aerospace AerodynamicsBeijingChina

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