Improvement of modeling method for engine room ventilation system

Pan He; Wenhui Luo

doi:10.1117/12.3025929

1 April 2024 Improvement of modeling method for engine room ventilation system

Pan He, Wenhui Luo

Author Affiliations +

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308207 (2024) https://doi.org/10.1117/12.3025929
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

The ventilation system of the ship's engine room is a prerequisite for the normal operation of ship equipment, and in order to design a suitable control system, obtaining an accurate theoretical model is particularly important. This article is based on the combination of mechanism method and system identification, improving traditional modeling methods and establishing a more accurate model of the engine room ventilation system. Compared with the improved method, the fitting degree of the model simulation results has been improved from 51.96% to 94.28%, indicating that the improved method produces a higher model accuracy and can better serve the design of control systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Pan He and Wenhui Luo "Improvement of modeling method for engine room ventilation system", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308207 (1 April 2024); https://doi.org/10.1117/12.3025929

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE