Cultural algorithm based on Particle Swarm Optimization for clearance of flight control law

A multiple optimization algorithm, the Cultural Algorithm based on Particle Swarm Optimization (CAPSO) was applied to flight control law clearance. The algorithm provides a more accurate performance in function optimization when compared with the traditional Particle Swarm Optimization (PSO). A short-period of longitudinal flight control system for a certain aircraft was designed before the validation. Two representative linear criterions were considered. The results indicate that the proposed algorithm provides an effective approach in search for worst combinations of parametric model uncertainties during process of flight clearance.