An Enhanced Collaborative Optimization Methodology for Multidisciplianry Design Optimization


Collaborative optimization (CO) is a hierarchical decomposition strategy in multidisciplinary design optimization (MDO) for the design of large-scale complex coupled engineering systems. In CO approach, an original design problem is decomposed into system-level and subsystem-level design problems, and interdisciplinary compatibility constraints (ICC) are defined for the complex coupled relationships between all the individual subsystems. However, confronted with the problems that system objective functions partially rely on local design variables and local state variables in some subsystems, CO can't guarantee the consistency between these local variables and corresponding system design variables. Additionally, ICC can be violated easily by the large fluctuation caused by a small variation of some design variables with big values. This paper concentrates on the ICC in CO, makes some modifications on them and proposes an enhanced collaborative optimization (ECO) methodology. With the ECO strategy, we successfully solve the classical gear reducer design problem in the MDO integration software called iSIGHT. The better results show that ECO is effective and valuable.

  • Abstract
  • Key Words
  • 1. Introduction
  • 2. Collaborative Optimization
  • 3. Enhanced Collaborative Optimization
  • 4. Case Study
  • 5. Conclusions and Future Work
  • Acknowledgements
  • References

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