Title :
The design of PID controller for continuous steel casting using adaptive steady-state particle swarm optimization
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, an adaptive steady-state particle swarm optimization (PSO) algorithm is proposed to search the optimal PID controller gains for mold level control of the continuous steel casting. An adaptive mutation strategy and global best position steady-state updating are integrated to the standard PSO to ensure the search balance of the exploration and exploitation. In the adaptive steady-state PSObased PID model-free control system for continuous steel casting, the three PID control grains are required to form a particle vector and the sum of the squared error is defined as the objective function. Simulation results testify that the adaptive steady-state PSObased PID model-free controller can perform well in the molten level control of the continuous steel casting.
Keywords :
adaptive control; casting; control system synthesis; optimal control; particle swarm optimisation; steel industry; three-term control; vectors; PID controller design; PID model-free controller; PSO algorithm; adaptive mutation strategy; adaptive steady-state particle swarm optimization; continuous steel casting; global best position steady-state updating; mold level control; molten level control; optimal PID controller gain; particle vector; search balance; squared error; Casting; Convergence; Sociology; Standards; Statistics; Steady-state; Steel;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6565072