Abstract: In the missile 1 robust controller design, the design of performance weighted function is difficult and time-consuming. Traditionally, one can only use trial-and-error or simulation methods, and therefore the controller’s overall performance cannot be guaranteed. In this paper, a particle swarm optimization (PSO) algorithm is used to optimize the performance weighted function automatically. By analyzing each parameter of the weighted function, parameters of the algorithm are selected. So the PSO algorithm and the 1 controller design process can be combined. Simulations show that the 1 controller can meet the requirements of control performances using the optimized performance weighted function. The objective function is convergent, and effectiveness of the method is confirmed.