Optimization of flight controller parameters based on PSO-immune algorithm

A PSO-Immune algorithm was proposed. In this method, the reproduction strategy based on density of immune algorithm was connected with the PSO algorithm to promote the particle whose density is low and to limit the particle whose density is high. In that way, the multiplicity of the particles is maintained and trapping in local minimum is avoided. The flight controller parameters were optimized using this method. The simulation results show that the good flight control performance is obtained compared with traditional trail-and-error method and the design efficiency is increased.