The linear active disturbance rejection formation controller is designed to improve the wind-resistant control performance of small fixed-wing unmanned aerial vehicle (UAV) formation and parameter adjustmenting methods of linear active disturbance rejection control (LADRC) are discussed. The strict bandwidth or pole assignment principles have low efficiency, and the particle swarm optimization algorithm is easy to fall into local optimization. Aiming at this problem, the inertia weight adjustment based on versoria function is combined with the constriction factor and an improved particle swarm optimization algorithm is proposed to optimize parameter. The system simulation experiment is developed to test the control performance of LADRC and proportion integration differentiation (PID) controller by leading into the mean and discrete burst wind. The results show that the wind-resistant control performance of LADRC based on improved particle swarm optimization (IPSO) is significantly improved compared with the PID controller.