Design of Heating Furnace Temperature Control System Based on Fuzzy-PID Controller

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 154)

Abstact

The furnace temperature is an important parameter in industry control, widely used in industries like metallurgy, machinery, chemical industry, etc. However, as a result of the inertia and hysteresis of temperature, it is difficult to establish a precise mathematical model, bringing great obstacle to the control. Classical PID control requires a complex model of the controlled object and shows limitations to the control system whose model is hard to establish; moreover, it can not solve the conflict between rapidity and overshoot. The fuzzy control needs no mathematical model and has a good robustness and great rapidity, but it’s easy to be affected by the limited rank of fuzzy rule and cause static error. After discussing the advantages and disadvantages of the PID control and the fuzzy control, this paper proposes to combine the two so that their respective advantages can complement each other and create a fuzzy-PID controller. Simulation researches have been conducted on the performance and anti-jamming ability of the PID control, the fuzzy control and the fuzzy-PID control with the MATLAB tool. The results indicate that the fuzzy-PID control could satisfy the requirements of short control time, overshoot less than 2% and the static error within ±1℃. Moreover, it shows great compatibility to 1-order inertial lag model, realizing an ideal effect featuring quick response, zero overshoot and small static error.

Keywords

Fuzzy Control Fuzzy Controller Adjust Time Temperature Control System Fuzzy Control Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgments

This research is funded by National Natural Science Foundation of China (NO.51075418), Chongqing Natural Science Foundation (NO.CSTC, 2010BB2285) and science & technology project of Chongqing municipal education committee (No. KJ111417).

References

  1. 1.
    Dong Ruihong, Liang Lei, Ren Xupeng: Temperature control system without overshoot fuzzy-PID controller design. Science Technology and Engineering, Vol.9.No.2 (2009), p.267–271.Google Scholar
  2. 2.
    Fan Wenli, Hu Yankui: Temperature compound fuzzy PID control system and simulation. Electrical Drive Automation, Vol.30.No.1 (2008), p.37–38.Google Scholar
  3. 3.
    Wang Zhiqiang, Wu Jiashu, Guo Hanjun: ADRC Intelligent Temperature Controller. Electrical transmission, Vol.38.No.4 (2008), p.43–45.Google Scholar
  4. 4.
    Feng Yingying, Luo Zongan, Zhang Dianhua: Fuzzy PID controller for temperature control thermal simulation optimization. Metallurgical Industry Automation. Vol.32.No.2 (2008), p.21–24Google Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Chongqing University of Science and TechnologyChongqingChina

Personalised recommendations