Optimization of flight controller parameters based on chaotic PSO algorithm of adaptive parameter strategy

A chaotic PSO algorithm of adaptive parameter strategy was proposed. In this method, an adaptive strategy of acceleration coefficients was incorporated into PSO algorithm to keep balance between global search and local search, meanwhile large scale initial population from which well-distributed initial population was chosen to improve quality of particles was generated in the solution space with ergodicity of chaos and chaotic perturbation based on fitness variance of population was utilized to avoid the particles being trapped into local convergence to improve precision in the search. The flight controller parameters were optimized using this method. The simulation results show that the optimal design of flight control system parameters can solve efficiently and the design efficiency is greatly increased with this method.