Improved Particle Swarm Optimization and Its Application

In this article, particle swarm optimization (PSO), a powerful competitor in the field of numerical optimization, is used to optimize the feedback control parameters of equilibrium point about inverted pendulum. Convertional PSO is easy to be trapped in the local minimums. The improved PSO, which the particles trapped in local minimums are initialized by chaotic series to help them break away from local optimum to find optimal solution rapidly, is proposed in this paper. Pendulum is used to check the effectiveness of the above stratagy. So the stabilization of pendulum with the nonlinear system model is investigated. A nonlinear system control strategy based on dynamic design variable optimization with an improved PSO is used to stabilize the pendulum. The simulation results show the validity.