Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
