The problem on path planning of an unmanned airship is to find out optimum trajectory from start point to destination point under certain limitation and performance index. In a way, the above problem is also an optimunm problem to match definite destination with some limitation function. In the first place, intact and correct flighting model is the most important limitation factor. In the second place, the boundary of controlled variables is also restriction term. So that, the solving on path planning of an unmanned airship can acquire the plots of flighting trajectories in the air and controlled variables after getting the minimum value of performance index objective function with the help of some path planning algorithms.Airship is different from usual flying vehicle with complex motion and particular characters. Intact and correct flighting nonlinear model is the premise condition. Genetic algorithm owns potential application prospect. Based on linearization of the nonlinear model, minimize... |