Transactions of Nanjing University of Aeronautics & Astronautics
Multi-objective Thermal Optimization of Dual-input Aeronautic Static Inverter Based on MOEA/D
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Abstract:
To solve the multi-variable and multi-objective optimization problem in the thermal design process of the dual-input aeronautic static inverter， an optimization method based on the combination of the multi-objective evolutionary algorithm based on decomposition （MOEA/D） and the fuzzy set theory is proposed. The heat transfer path of the power device is analyzed and an equivalent heat circuit is conducted. We take junction temperature of the power device， mass， and cost of the heat sink as optimization goals， and take the heat sink structure parameters as design variables to conduct thermal optimization based on MOEA/D. This paper carries out a comparative study， and the results show that the proposed improved algorithm can meet the different requirements for multi-objective weights， and have good rapidity and robustness.
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Project Supported:
This work was supported by the National Natural Science Foundation of China（Nos. U1933115， U2133203）.
Clc Number:
TM46
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