Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer

Joint Authors

Yang, Jun
Wang, Jian
Zhou, Xuesheng
Li, Yanxiao

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-12

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L2 disturbance attenuation is researched.

A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity.

With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fresh air, and the augmented closed-loop system is mean-square stable.

A validation of the proposed stochastic robust air-fuel ratio regulator is carried out by the numerical simulation of two working conditions.

The accuracy control of the air-fuel ratio is realized by the proposed stochastic robust air-fuel ratio regulator, which in turn leads to an improvement in fuel economy and emission performance of the CNG engines.

American Psychological Association (APA)

Yang, Jun& Wang, Jian& Zhou, Xuesheng& Li, Yanxiao. 2020. Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1193654

Modern Language Association (MLA)

Yang, Jun…[et al.]. Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1193654

American Medical Association (AMA)

Yang, Jun& Wang, Jian& Zhou, Xuesheng& Li, Yanxiao. Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1193654

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1193654