Research on PID Controller in Active Magnetic Levitation Based onParticle Swarm Optimization Algorithm

Abstract

Active magnetic levitation control system is an open-loop and unstable control system. The parameters of PID controller are usually set according to the experience of the designer. It is not only time-consuming and tedious, but also can’t be controlled accurately. So the particle swarm optimization algorithm is used in this paper, which is used to optimize the parameters of PID controller by combining with PID controller. The proportional coefficient, integral coefficient and differential coefficient of PID controller are used as three particles of the particle swarm optimization algorithm. The accurate initialization parameters are selected, and then the speed and position information is updated to realize the global optimization of particle. Therefore, the three optimized parameters of PID controller are obtained, which are used to simulate the active magnetic levitation control system. The simulation result shows that the optimized parameters can make the active magnetic levitation control system stable.