HSIC Algorithm of Process Control

Peng Hui Niu; Yin Lei Qin; Shun Ping Qu; Xiao Peng Zhang

doi:10.4028/www.scientific.net/AMM.336-338.847

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 336-338HSIC Algorithm of Process Control

HSIC Algorithm of Process Control

Abstract:

Process control objects mathematical model is difficult to establish. Based on humans thinking mode, control experience, action and intuitional reasoning, Human simulation intelligent control (HSIC) avoids all kinds of difficult problems that we are faced with as seeking the answer of complicated model or establishing brain model, and so there are some advantages for HSIC on process control. In this paper, a detailed algorithm is described for process control by using the method of HSIC. Finally, the results of practical application have proved that HSIC is feasible and effect for process control.

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Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

847-851

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.847

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Online since:

July 2013

Authors:

Peng Hui Niu, Yin Lei Qin, Shun Ping Qu, Xiao Peng Zhang

Keywords:

Controller, Human Simulation Intelligent Control, Process Control

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References

[1] Jin Yihui, in: Process control, Qinghu University Publishing, Beijing, China, 1993.

Google Scholar

[2] Bai Meiqing and Gao Fuqiang: Human Simulation Intelligent Controller, Chinese Journal of Scientific Instrument, Vol.9, No.1, pp.85-89, 1988.

Google Scholar

[3] Tu Yaqing and Li Zushu: A New Designing Method for Human Simulation Intelligent Controller, Journal of Acta Automatica Sinica, Vol.20, No.5, pp.616-621, 1994.

Google Scholar

[4] Liu Chengjun, Xue Fangzheng and Li Zushu: Human Simulated Intelligent Control of Brushless DC Motor Based on Time-varying Model, Journal of System Simulation, Vol.23, No.6, pp.1098-1093, 2011.

Google Scholar

[5] Zhang Cuiying and Tian jianyan: On-Line Parameter Setting Method Based on Fuzzy Control Theory for Human-Simulated Intelligent Controller, Journal of North University of China(Natural Science Edition), Vol.31, No.5, pp.477-480, 2010.

Google Scholar

[6] Cai Ling and Han Xiao: Temperature Control of Water(Oil) Bath Boxes Based on Human-simulated Intelligent Control, Journal of Control and Instruments in Chemical Industry, Vol.38,No.3, pp.332-334,2011.

Google Scholar