Title :
Study of PID temperature control for reactor based on RBF network
Author :
Zhou Yilin ; Ding Qichen
Author_Institution :
Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
Traditional PID temperature control for the reactor is limited to linear system, and the control effect is not ideal. In order to improve the reliability, security and control precision of the system, PID optimum temperature control method for the reactor based on the RBF network is proposed. The controller is optimized by a method of combining RBF neural network with PID control, and the optimal parameters are got. Based on Matlab simulation results show that the control method compared with traditional PID achieves the characteristics of fast response speed, high precision and wide range of temperature control.
Keywords :
chemical reactors; linear systems; mathematics computing; neurocontrollers; optimal control; temperature control; three-term control; Matlab simulation; PID optimum temperature control method; RBF neural network; linear system; reactor; Computational modeling; Inductors; PD control; Radial basis function networks; Simulation; Temperature control; PID controller; Radial basis function (RBF); Simulink; The reaction temperature system;
Conference_Titel :
Automation and Logistics (ICAL), 2012 IEEE International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4673-0362-0
Electronic_ISBN :
2161-8151
DOI :
10.1109/ICAL.2012.6308249
