Abstract
This study focuses on the design of a backstepping particle-swarm-optimisation control (BSPSOC) for the on-line levitated balancing and propulsive positioning of a magnetic levitation (maglev) transportation system. The dynamic model of a maglev transportation system including levitated electromagnets and a propulsive linear induction motor (LIM) based on the concepts of mechanical geometry and motion dynamics is first constructed. The aim is to design an on-line particle-swarm-optimisation (PSO) control methodology to cope with the problem of the complicated control transformation and the chattering control effort in backstepping control (BSC) design, and to directly ensure the stability of the controlled system without the requirement of strict constraints, detailed system information and auxiliary compensated controllers despite the existence of uncertainties. In the proposed BSPSOC scheme, a PSO control is utilised to be the major control role, and adaptation laws derived from Lyapunov stability analyses are manipulated to adjust appropriate evolutionary coefficients. The effectiveness of the proposed control strategy for the maglev transportation system is verified by experimental results, and the superiority of the BSPSOC scheme is indicated in comparison with the total sliding-mode control (TSMC) and BSC strategies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.