Title :
Application of fuzzy Smith intelligent control in automatic control system of cone crusher
Author :
Ailian, Li ; Feng, Yue
Author_Institution :
Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
The control system of cone crusher is a big inertial system with nonlinearity and pure time-delay. According to this, the Fuzzy PID and improved Smith predictor are presented. The design combines Fuzzy PID with a good dynamic performance and good robustness, and uses improved Smith predictor to overcome effects of the controlled object parameter changes. Simulation results show that the intelligent control system can improve the stability and dynamic performance of system.
Keywords :
control nonlinearities; crushers; delays; fuzzy control; intelligent control; stability; three-term control; Smith predictor; automatic control system; big inertial system; cone crusher; controlled object parameter; dynamic performance; fuzzy PID control; fuzzy Smith intelligent control; system stability; time delay; Adaptation models; Delay; Fuzzy control; Intelligent control; Mathematical model; Niobium; Predictive models; Fuzzy PID; Fuzzy control; Improved Smith predictor;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244443
