Robust Design of Load Sensing Proportional Valve by Orthogonal Experiment Analysis with Constrained Multi-objective Genetic Algorithm

Paper #:
  • 2013-01-0378

Published:
  • 2013-04-08
Citation:
Ma, Z., Wu, J., Jin, A., and Zhang, Y., "Robust Design of Load Sensing Proportional Valve by Orthogonal Experiment Analysis with Constrained Multi-objective Genetic Algorithm," SAE Technical Paper 2013-01-0378, 2013, https://doi.org/10.4271/2013-01-0378.
Pages:
13
Abstract:
This paper deals with the robust design of the Load Sensing Proportional Valve (LSPV). To find out the parameters which have main effect on the performance of the LSPV, the DOE based on orthogonal experiment is carried out utilizing the LSPV model built in AMESim environment. In order to save computation expense, the RSM technique is used to approximate the optimal objectives and constraints. Then a robust design methodology using multi-objective evolutionary algorithm (MOEA) is performed and a set of non-dominated solutions are therefore obtained. With specified assessments, feasible solutions can therefore be selected from the entire field of the Pareto optimal solutions. The validation is made by Monte Carlo Simulation Technique in terms of the robustness of the feasible solutions.
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