Energy-saving optimization control of air compressor based on particle swarm optimization
Wei Ping Yan, Yifan Sun, Nan Li, Lin Wang, Jiaping Lou · 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2021
Energy-saving optimization control of the air compressor based on particle swarm optimization is studied in this paper. From the perspective of quantum mechanics, through the study of particle convergence behavior, based on the particle swarm algorithm, a new algorithm model-quantum behavior particle swarm algorithm has been proposed. Compared with the other latest methods, this paper proposes the novel parameter updating function to adjust the drawbacks of the traditional PSO. In addition, on the basis of the established subsystems, the associations between the general various "sub-problems" are comprehensively considered to form the overall model of the large system. With this comprehensive model, the optimization control of the air compressor is constructed. The proposed model is simulated on real testing, and compares it with the other latest models.