PID parameter optimization is a very key problem in application engineering. Aiming at PID parameter optimization, this paper analyzes the application of two most commonly used and classical swarm intelligence algorithms: particle swarm optimization algorithm and ant colony algorithm in PID parameter optimization. The combination of two population intelligent algorithm and PID controller is suitable for different occasions, and each has its advantages and disadvantages. The two population intelligent algorithms can effectively adjust the PID parameter...
