Prediction of Football Penalty Kick Trajectory Based on RBF Network
Based on the linearized trajectory prediction model,when predicting the football trajectory,it can only guar-antee the local stability,and there are local stability problems and parking problems in trajectory tracking.This paper propo-ses a method for predicting the trajectory of football penalty kick based on RBF network.The analytical model of football motion state sensing signal is established,and the parameters of gravity,air resistance,air buoyancy and Magnus force gen-erated when the football is flying are collected.An analytical model of flight force in football flight is established.in view of the high complexity of the multi parameter model,the parking problem arises.Using the RBF network model simplification ability,a flight trajectory prediction model is established.Combining with the parallel filter controller,all the above infor-mation is fused.On the basis of the known probability calculation,the state estimation of the football flight trajectory is completed,and the covariance calculation of its error is taken as the input value of the filter control,so that all the variance and mean data are obtained.Finally,the motion state function of football at any time is obtained,and the prediction is com-pleted.The experimental results show that the coincidence degree of the soccer trajectory of this method is 12 mm,and the maximum standard deviation of the impact distance is only 0.0412 m.Therefore,this prediction method can obtain more accurate prediction data.
万方数据
维普
