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

fYear

2012

fDate

15-17 Aug. 2012

Firstpage

456

Lastpage

460

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics (ICAL), 2012 IEEE International Conference on

Conference_Location

Zhengzhou

ISSN

2161-8151

Print_ISBN

978-1-4673-0362-0

Electronic_ISBN

2161-8151

Type

conf

DOI

10.1109/ICAL.2012.6308249

Filename

6308249