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Research Papers

Modeling and Simulation of an Electronic Oxygen Regulator Based on All-Coefficient Adaptive Control

[+] Author and Article Information
Yuxin Jiang

Intelligent Robots Key Laboratory,
College of Computer and Control Engineering,
Nankai University,
Tianjin 300071, China
e-mail: jiangyuxin@mail.nankai.edu.cn

Qinglin Sun

Professor
Intelligent Robots Key Laboratory,
College of Computer and Control Engineering,
Nankai University,
Tianjin 300071, China
e-mail: sunql@nankai.edu.cn

Panlong Tan

Intelligent Robots Key Laboratory,
College of Computer and Control Engineering,
Nankai University,
Tianjin 300071, China

Zengqiang Chen

Professor
Intelligent Robots Key Laboratory,
College of Computer and Control Engineering,
Nankai University,
Tianjin 300071, China

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received June 10, 2015; final manuscript received April 5, 2016; published online June 15, 2016. Assoc. Editor: Yongchun Fang.

J. Dyn. Sys., Meas., Control 138(8), 081010 (Jun 15, 2016) (7 pages) Paper No: DS-15-1267; doi: 10.1115/1.4033413 History: Received June 10, 2015; Revised April 05, 2016

Safe and reliable automatic pressure regulation of the oxygen mask is a primary consideration for the oxygen supply system. One kind of electronic oxygen regulator (EOR) structure is proposed, and its operation principle is explained in this paper. To avoid long controller design cycle, herein, some simulations are carried out on matlab for analysis by establishing a mathematical model according to the EOR flow dynamic characteristics. In the simulations, the all-coefficient adaptive control method based on a characteristic model (CM) and the proportional–integral–derivative (PID) algorithm are applied, and the results are thoroughly investigated by considering some disturbance, such as the user's changing pulmonary ventilation parameters, the air leakage of the mask, and the sensor noise. Results suggest that the all-coefficient control method is more effective to guarantee superior lower inspiratory resistance than the PID method with the environmental disturbance, which may be a plausible reference for the EOR controller design.

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Figures

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Fig. 1

Schematic diagram of oxygen supply system

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Fig. 2

Block diagram of the plant model

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Fig. 3

Feedback block diagram of all-coefficient control method

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Fig. 8

Simulation result with air leakage based on CM-based all-coefficient controller

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Fig. 9

Simulation result with air leakage based on PID controller

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Fig. 10

Simulation result with sensor noise

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Fig. 11

The close-up result

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Fig. 4

Outputs of the oxygen regulator and CM with the same inputs

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Fig. 5

The coefficient identification

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Fig. 6

Simulation result with constant pulmonary ventilation

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Fig. 7

Simulation result with changing pulmonary ventilation

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