A High Accurate Adaptive Temperature Control Algorithm Based on Fuzzy Reasoning and PID Control

Tian Tian Guo; Qing Tao Wang; Qing Shen

doi:10.4028/www.scientific.net/AMM.331.352

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 331A High Accurate Adaptive Temperature Control...

A High Accurate Adaptive Temperature Control Algorithm Based on Fuzzy Reasoning and PID Control

Abstract:

A high accurate adaptive temperature control algorithm is proposed and implemented for a thermostatic chemical detecting device. The proposed algorithm combines the advantages of PID control and Fuzzy control which are high accuracy and easy control. The algorithm flow chart and fuzzy reasoning rules are presented. The experiment results and actual operation show that the algorithm has much better performance on adaptability, stability, accuracy than simple PID control and has a great application prospect on the field of constant-temperature chemical apparatus.

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Periodical:

Applied Mechanics and Materials (Volume 331)

Pages:

352-355

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.331.352

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Online since:

July 2013

Authors:

Tian Tian Guo, Qing Tao Wang, Qing Shen

Keywords:

Adaptive Tune, Fuzzy Reasoning, High Accuracy, PID Control

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References

[1] Derek W Yoder, Oleg Makarov, Stephen Corcoran, Robert F Fischetti: PID Feedback Control of Monochromator Thermal Stabilization. Nuclear Inst. and Methods in Physics Research, Vol. 649 (2010), pp.107-108.

DOI: 10.1016/j.nima.2010.11.177

Google Scholar

[2] Juing-Shian Chiou, Shun-Hung Tsai, Ming-Tang Liu: A PSO-based Adaptive Fuzzy PID-controllers. Simulation Modelling Practice and Theory, Vol. 26 (2012), pp.49-59.

DOI: 10.1016/j.simpat.2012.04.001

Google Scholar

[3] Ayman A Aly: Model Reference PID Control of an Electro-hydraulic Drive. International Journal of Intelligent Systems and Applications, Vol. 4 (2012), pp.24-32.

DOI: 10.5815/ijisa.2012.11.03

Google Scholar

[4] H. B Kazemian: Developments of Fuzzy PID Controllers. Expert Systems, Vol. 22 (November 2005), pp.254-264.

DOI: 10.1111/j.1468-0394.2005.00316.x

Google Scholar

[5] K.K Ahn, D.Q Truong: Online Tuning Fuzzy PID Controller Using Robust Extended Kalman Filte. Journal of Process Control, Vol. 19 (2008), pp.1011-1023.

DOI: 10.1016/j.jprocont.2009.01.005

Google Scholar

[6] B.M Mohan, Arpita Sinha: Analytical Structure and Stability Analysis of a Fuzzy PID Controller. Applied Soft Computing Journal, Vol. 8 (2007), pp.749-758.

DOI: 10.1016/j.asoc.2007.06.003

Google Scholar

[7] Yau-Tarng Juang, Yun-Tien Chang, Chih-Peng Huang: Design of Fuzzy PID Controllers Using Modified Triangular Membership Functions. Information Sciences, Vol. 178 (2007), pp.1325-1333.

DOI: 10.1016/j.ins.2007.10.020

Google Scholar

[8] Xiao-Gang Duan, Han-Xiong Li,Hua Deng: Effective Tuning Method for Fuzzy PID with Internal Model Control. Industrial & Engineering Chemistry Research, Vol. 47 (2008), pp.8317-8323.

DOI: 10.1021/ie800485j

Google Scholar