| Citation: | JIN Zongliang, REN Xingming. Optimization of compressor variable stator vane angles based on particle swarm algorithm[J]. Journal of Aerospace Power, 2025, 40（8）：20230064 doi: 10.13224/j.cnki.jasp.20230064
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In order to speed up the optimization test of variable stator vane angle of multistage compressor and reduce the test cost, a method using numerical computation to guide test was proposed. Target on matching of the compressor stage load with the design intent, the model was established based on particle swarm optimization. Using a small amount of test data as input, multistage stator vane angles could be optimized synchronously. Taking CFD data instead of test data, optimized angle combination was proposed using the model herein. The outcomes showed that the load distribution of compressor variable stages at optimized angle was significantly improved than the original one. The performance test result of two compressors showed that the deviations of stage mass flow and stage pressure ratio for variable stages were both within ±0.5% to the design intent, presenting a high accuracy. In addition, the adiabatic efficiency of the compressor was improved at operation points near the working line. Taking the advantage of particle swarm optimization, the tested angle combinations were approximately 50% less required than the conventional methodology.
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