基于粒子群算法的双螺杆空压机混合建模

Hybrid Modeling of Twin-Screw Air Compressor Based on Particle Swarm Optimization

摘要: 本文提出了一种用于双螺杆空气压缩机的简单而精确的混合模型。建模过程以基本的热力学原理为基础，根据压缩机的运行特性，确定了以压缩机的排气压力作为基本特征变量的混合模型，基于大量的实验数据并利用粒子群算法对混合模型进行参数辨识，建立了螺杆空压机的轴功率计算模型和容积效率计算模型。与现有模型相比，混合模型更加精简，同时兼顾准确性和实用性。对混合模型进行验证，结果表明预测结果与实验数据之间的最大误差均在−4%~2％之间，表明该模型能够在更加宽泛的范围内预测空压机的能耗与排气流量。本文提出的混合模型为后续的螺杆空压机性能分析和优化控制奠定了基础。

Abstract: A simple and accurate mixing model for twin-screw air compressors is proposed. The modeling process is based on basic thermodynamic principles, and a hybrid model with compressor dis-charge pressure as the basic characteristic variable is determined according to the operating characteristics of the compressor. Based on a large amount of experimental data and the use of particle swarm algorithm to identify the parameters of the hybrid model, the shaft power calcula-tion model and volumetric efficiency calculation model of the screw air compressor is established. Compared with existing models, the hybrid model is more streamlined, while taking into account accuracy and practicality. The hybrid model was verified, and the results showed that the maximum error between the predicted results and the experimental data was between −4% and 2%, indicating that the model can predict the energy consumption and exhaust flow of the air com-pressor in a wider range. The hybrid model proposed in this paper lays the foundation for the subsequent performance analysis and optimal control of the screw air compressor.