The Fuzzy-PID Algorithm Apply to the Constant Gas Flow Control of the Dust Sampler

Ren Jiang Li; Tie Wang; Cheng Xun Sun

doi:10.4028/www.scientific.net/AMR.542-543.217

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543The Fuzzy-PID Algorithm Apply to the Constant Gas...

The Fuzzy-PID Algorithm Apply to the Constant Gas Flow Control of the Dust Sampler

Abstract:

The Sampling flow will be decreased because the permeability weakness of filterable membrane after the dust sampler working for a period of time. It seriously affects the accuracy of measurement, so we should keep the dust sampler working under the constant gas flow. The stable, rapidness and accuracy constant sampling can be achieved based on the application of fuzzy-PID algorithm and the adoption of PWM technique. It has carried on design to the dust sampler control system from selecting the hardware and designing the software to data processing and errors analysis, and discussing the preferable performance of the dust sample control system.

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Periodical:

Advanced Materials Research (Volumes 542-543)

Pages:

217-222

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.542-543.217

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Online since:

June 2012

Authors:

Ren Jiang Li, Tie Wang, Cheng Xun Sun

Keywords:

Constant Gas Flow Control, Dust Sampler, Fuzzy PID

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References

[1] Y.S SHI, C.Z Hou, Z.Y Han, A.N Li and S.W Zhao: volume 25 Occup and Health (2009).

Google Scholar

[2] J Ding. Study on fuzzy-PID controller. Harbin Engineering University (2009).

Google Scholar

[3] H.G Zhang, Meng X.P: Intelligent Control Theory and Its Application (china machine press.Beijing.2000).

Google Scholar

[4] X.L Wei: MSP430 series SCM interface technology and systems design examples (Beijing University of Aeronautics and Astronautics press. Beijing. 2002).

Google Scholar

[5] D.K Hu, MSP430 series of low consumption of 16 monolithic integrated circuits principles and application (Beijing University of Aeronautics and Astronautics press. Beijing. 2005).

Google Scholar

[6] J.K Liu: Simulation of Advanced PID Control based on MATLAB (Publishing house of electronics industry.Beijing.2011).

Google Scholar

[7] Z.L Ding: Error Theory and Data Processing (Harbin Engineering University press. Heilongjiang. 1992).

Google Scholar