Abstract
Abstract:
It is necessary to change the parameters of PID controller if the parameters of plants change
or there are disturbances. Particle swarm optimization algorithm is a powerful optimization algorithm
to find the global optimal values in the problem space. In this paper, the particle swarm optimization
algorithm is used to identify the model of the plant and the parameter of digital PID controller online.
The model of the plant is identified online according to the absolute error of the real system output
and the identified model output. The digital PID parameters are tuned based on the identified model
and they are adaptive if the model is changed. Simulations are done to validate the proposed method
comparing with the classical PID controller.
Originally presented at 2014 International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2014), Beijing, October 24-26, 2014.