Abstract
The high-speed maglev train guidance system is an important device for the offset between the train and the track to ensure the safe driving of the train. In the process of operation, the interferences of guidance system are complex and changeable. In order to improve the tracking ability and anti-interference ability for gap change, this paper designs an Active Disturbance Rejection Controller (ADRC) for the guidance system of high-speed maglev train. To solve the problem of that parameters tuning of ADRC is complex and it is difficult to achieve good control effect by manual tuning, a parameter optimization method based on Multi Population Genetic Algorithm (MPGA) is proposed to intelligently tune the parameters of ADRC. The simulation results show that the parameters adjusted by the intelligent algorithm can make the ADRC have better control performance.
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.
