The Fuzzy PID Control of Resistance Furnace Temperature System Based on Genetic Algorithm

Article Preview

Abstract:

The resistance furnace temperature system has low accuracy and big overshoots with fuzzy control. The fuzzy PID controller is used to optimize the resistance furnace temperature system, and the design scheme is developed. The fuzzy control and PID control are combined to control the system. If the system’s deviation is large the fuzzy control is adopted, else PID control is adopted. The genetic algorithm is adopted to train the controller’s membership functions, control rules and parameters. The global optimum of the controller’s parameters can be achieved. Matlab simulation results indicate that the resistance furnace temperature system with fuzzy PID control is more dynamic, robust, and highly precise.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

678-682

Citation:

Online since:

January 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZHAO Guoqiang, LI Xinchun, JIA Shuliang. Resistance Furnace Temoerature Control System Fuzzy Controller. Journal of Liaoning Technical University(Social Science Edition). Vol. 23(2004), pp.370-371.

Google Scholar

[2] LI Jiejia, ZHANG Jingyu, LUAN Fangjun. Application of fuzzy-PID control to the control of the electric heater based on genetic algorithm. Journal of Shenyang Jianzhu university(Natural Science), Vol. 23(2007), pp.866-868.

Google Scholar

[3] HE Dandan, YANG Lei, WU Tiebin. Research on the temperature control system of resistance furnace with high precision based on Chaos-PID control. Sci-tech information development &economy, Vol. 16(2006), pp.170-172.

Google Scholar

[4] LI Na. Temperature control system of resistance furnace based on fuzzy-PID. Journal of Beijing vocational&technical institute of industry, Vol. 5 (2006), pp.37-39.

Google Scholar

[5] WANG Hui. Research of the ATC system for resistance stove based on fuzzy-PID. Applied science and technology, Vol. 33 (2006), pp.38-39.

Google Scholar

[6] XUE Fuzhen, LIU Renquan. Design of fuzzy-PID controller based on GA. Automation &Instrumentation, Vol. 3(2006), pp.45-49.

Google Scholar