Title :
Algorithm of constrained generalized predictive control based on PSO-SA
Author :
Fu, Qiufeng ; Li, Shuchen ; Hu, Yu´e ; Zhang, Yongqiang ; Liu, Wei
Author_Institution :
Sch. of Inf. & Control Eng., Liaoning Shihua Univercity, Fushun, China
Abstract :
An algorithm of constrained generalized predictive control was proposed based on particle swarm optimization(PSO) and simulated annealing(SA).PSO and SA were used for iterative optimization to enhance the search capabilities for constraint boundary. Meanwhile, a violation function was constructed by constraints. This function and fitness function determined the optimal solution better or not. Constraint handling performance of GPC can be effectively improved by this algorithm. Its feasibility and effectiveness were verified via simulation study for an industrial object.
Keywords :
iterative methods; particle swarm optimisation; predictive control; simulated annealing; constrained generalized predictive control; fitness function; function function; iterative optimization; particle swarm optimization; simulated annealing; violation function; Constraint optimization; Industrial control; Predictive control; Predictive models; Simulated annealing; Three-term control; constraint; generalized predictive control; particle swarm optimization; simulated annealing;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498662
