Aiming at the problem that the grey wolf algorithm is easy to fall into the local optimum,which leads to the low precision of path optimization,an improved grey wolf algorithm is proposed and applied to the static 2D UAV path planning research.Firstly,a nonlinear adjustment strategy of control parameters is introduced to balance the global search and local search of the algorithm.At the same time,the grey wolf algorithm is combined with Powell algorithm to improve the optimization effect and path planning accuracy.Finally,the test and simulation show the optimization accuracy and path planning effect of the improved grey wolf algorithm.