Title :
Research on Intelligent PID Control Strategy of Thermal Control Object
Author :
Ye, Wentong ; Xu, Jin ; Zhu, Yonghua ; Chen, Yong
Author_Institution :
Dept. of ISEE, Quzhou Coll., Quzhou, China
Abstract :
Aimed at the controlled object´s character of long delay-time, this paper presents a strategy that the long delay-time object is remodeled into short delay-time object through decreasing time-delay control, after the adoption of BP neural network PID controller to control the transformed system. In this paper, the three-layer BP neural network is designed and BP neural network PID controller algorithm is analyzed. The simulation results showed that the PID controller based on BP neural network has good control effect in the performance of following, anti-interference, robust.
Keywords :
backpropagation; control system synthesis; delays; neurocontrollers; thermal variables control; three-term control; BP neural network controller; intelligent PID control strategy; long delay-time object; short delay-time object; thermal control object; time-delay control; Artificial neural networks; Control systems; Delay; Delay effects; Mathematical model; Thermal stability; Transfer functions; BP neural network; decreasing time-delay controller; intelligent PID control; long delay-time; thermal object;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.573