Title :
Parameters Optimization of GPC Based on Swarm Algorithm
Author :
Ping, Zhang ; Youhua, Wang ; Xinpeng, Nie ; Dianli, Lv
Author_Institution :
Hebei Univ. of Technol., Hebei
Abstract :
In this paper, the zeros of plant are decomposed into non-minimum phase zeros and minimum phase zeros; a new predictive equation is built. Combining generalized predictive control function with PID structure, and then optimizing the parameters of PID cost function based on swarm algorithm, thereby a new predictive algorithm is gained on the basis of introducing a restraining overshoot predictive method and model error amendment. Simulation results show this algorithm improves the controlling performance greatly, increases instantaneous respond.
Keywords :
optimisation; predictive control; three-term control; GPC; PID structure; generalized predictive control function; model error amendment; nonminimum phase zeros; parameters optimization; swarm algorithm; Automation; Cost function; Equations; Error correction; Optimization methods; Polynomials; Prediction algorithms; Predictive control; Predictive models; Three-term control; GPC; Non-minimum system; PID cost function; Parameters Optimization; Swarm Algorithm;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347097