Intelligent Anti-swing Bridge Crane Systems Control

In recent years, due to the large-scale goods and the process of science andtechnology, the increased length of bridge crane radius and the wire rope, theincreased speed of bus, the increase of hoisting motor speed, the driver visibility,which cause the hook operation become harder and harder. This needs spendmore time on eliminating swing and accurate positioning. These factors not onlyincreased the cost of production, but also produce safe hidden trouble. To sumup, some facilities or ways to control swing are must be used by all the means.And electric anti-swing as a new way to prevent is playing a more and moreimportant role in modern production, which is gradually replace the traditionalmechanical anti-swing.Based on this background, in this paper, put the Konecranes CXTD16t×19.5m₉m double beam bridge crane as the research object. In order to avoidthe crane nonlinear and time-varying and simple control in bridge cranepositioning and anti-swing deficiencies, in this paper, a way that based on thefuzzy adaptive PID control of bridge crane positioning and anti-swing isfound by finding out the fuzzy relationship of the deviation e, the deviationrate ec and the PID controllerK p、K i、K d,and then tracking error signal tochange controller parameters dynamically in the system, in order to satisfy thedifferent deviations e and the deviation change rate ec for differentrequirements of the control parameters, so as to make the controlled object has agood dynamic and static performance. By comparing the simulation results ofPSO-PID controller, the time of anti-swing of the fuzzy adaptive PID controlsystem is short and with high efficiency and better control result, whichindicates the method can improve feasibility and better robustness.In the end of this paper, the system for the article research topic of bridgecrane anti-swing control system is developed. With the help of the cooperation,the related hardware and software design, installation and debugging of theanti-swing control system is successfully completed. The field test results showed that the fuzzy adaptive PID control method is in line with the demond.