Abstract
With the development of industry the bridge crane develops into intelligence, the main case of its control system is that the load reach the designated position rapidly and steady so it can improve the work efficiency, and decrease the hidden dangers during its operation. To solve this problem and due to nonlinear and uncertainty of the crane model, in the paper shows a detailed analysis of the mathematical model of cart-load system and proposes the method of positioning and anti-swing using fuzzy adaptive PID controller, further more, it designs two controllers for the cart position and swing angle respectively. The simulation results prove the feasibility of this method and it can reduce the working time effectively and improve the working safety factor. It is an ideal control method for bridge crane.
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.
