基于近稀疏响应面的单转子压缩机优化方法

Optimization Method of Single Rotor Compressor Based on Near Sparse Response Surface

针对单转子压缩机在低频工况下存在较大振动噪声的问题,在构建前馈补偿电流模块后,通过模拟退火算法对电机控制仿真模型进行直接寻优,获取最佳前馈补偿电流,使进入稳态后的转速波动由经验值的194 r/min降至95 r/min,从而达到降低单转子压缩机振动噪声的目的。在此基础上,提出构建前馈补偿电流系数与转速波动之间的近稀疏响应面模型,并调用模拟退火算法进行寻优,在转速波动与直接寻优结果基本一致的情况下,使响应面寻优的迭代时间对比直接寻优缩短600倍,极大地节省了仿真时间。

Aiming at the problem of large vibration noise of single-rotor compressors under low-frequency conditions,after constructing the feedforward compensation current module,the simulated annealing algorithm was used to directly optimize the motor control simulation model to obtain the optimal feedforward compensation current.After entering the steady state,the speed fluctuation was reduced from 194 r/min to 95 r/min,so as to reduce the vibration noise of the single-rotor compressor.Based on this,it was proposed to construct a near-sparse response surface model of feedforward compensation current coefficient and the speed fluctuation,and call the simulated annealing algorithm for optimization.When the speed fluctuation is consistent with the direct optimization result,the optimization time is reduced by 600 times,which greatly saves the simulation time.