Title :
Application of a Modified PSO Algorithm in PID Controller Optimization
Author :
Shi-cheng, Jiang ; Wen-bo, Xu
Author_Institution :
IoT Eng., Jiangnan Univ., Wuxi, China
Abstract :
A modified PSO for Optimum Design of PID Controller is stated. Particle Swarm Optimization is a new random global optimization algorithm. The algorithm feature is simple, ease to implement and powerful function. But it is easy to trap in the local pole, and search accuracy is low. PID controller principle is concise, physical meaning of its parameters are clear, and theoretical analysis system is integrity and the industrial sector are familiar with it, so in the industrial process control is still widely used. In this paper, the modified PSO algorithm has been used in PID controller to optimize parameters and compared with basic PSO algorithm. Emulation experiments demonstrated that the modified PSO algorithm increase the probability convergence to the global optimal solution.
Keywords :
control system synthesis; particle swarm optimisation; three-term control; PID controller optimization; global optimization algorithm; industrial process control; industrial sector; modified PSO algorithm applciation; optimum design; particle swarm optimization; powerful function; Algorithm design and analysis; Convergence; Equations; Heuristic algorithms; Optimization; Particle swarm optimization; Vectors; PID control; Particle Swarm Optimization; parameter optimization;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
Conference_Location :
Wuxi
Print_ISBN :
978-1-4577-0327-0
DOI :
10.1109/DCABES.2011.25