Intelligent path planning for bridge crane is affected by multiple factors(Lifting swing,positioning accuracy,obstacles,frequent braking of cart and trolley,etc.),so it is not just for traditional path planning.Therefore,this paper uses intelligent anti-sway module based on input shaping method with good anti-sway effect and PID to carry out intelligent path planning.Through the combination of the anti-sway module and the intelligent path planning module,the safety and practical operability of the bridge crane can be greatly improved.On the anti-sway module,this paper uses Lagrange's equation to establish the dynamic model of the bridge crane,and compares the swing angle and positioning of the crane before and after anti-sway.On the one hand,the feasibility of the anti-sway algorithm is verified.On the other hand,it has also been confirmed that the influence of the bridge crane on path planning without anti-sway is huge.On the intelligent path planning module,this paper uses the grid method and the improved A * algorithm for two-dimensional path planning.In the path search and selection,combined with the anti-sway characteristics of the bridge crane,the optimal path is selected,and the degree of anti-sway performance is also improved.This paper uses the grid method and improved ant colony algorithm for three-dimensional path planning.It uses heuristic functions to increase weights,roulette method to simulate the probability of ants choosing paths,global pheromone update,and other methods to reduce the probability of falling into a local optimum.At the same time,the host computer software has been written for easy operation.Finally,by setting up a bridge crane experimental platform and allowing the bridge crane to run along the searched optimal path under the control of the anti-sway module,the practical feasibility of the path planning algorithm was verified. |