Abstract
In this paper, an integrated intelligent control algorithm is presented, namely Fuzzy Self-Tuning PID control algorithm, in order to improve the control performance of Automatic Train Operation system. The fuzzy control theory is adopted to refine the conventional PID controller given that fuzzy control theory as the decision-making system is based on the operators' excellent experience, which includes traceability, punctuality, parking accuracy, riding comfort and energy efficiency. The Fuzzy Self-Tuning PID controller' s validity is verified by the test based on the interstation of Shanghai Metro Line 11, the simulation results show that it is more effective that implementing Fuzzy Self-Tuning PID controller on Automatic Train Operation system compared to conventional PID-type Automatic Train Operation system.
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.
