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Intelligent Control of Cabin Environment Using Computational Fluid Dynamics for Intelligent Manufacturing

Xi Wang*, Guangping Zeng
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China
* Corresponding Author: Xi Wang. Email:
(This article belongs to this Special Issue: EFD and Heat Transfer III)

Fluid Dynamics & Materials Processing 2022, 18(3), 563-576.

Received 14 June 2021; Accepted 02 August 2021; Issue published 22 February 2022


An efficient and versatile intelligent algorithm is developed for the control of the cabin environment of wind power generators. The method can be used to monitor and solve wind power generation problems at the same time. It also provides several advantages with respect to other traditional methods which imply significant workload and maintenance personnel. The functional requirements of the intelligent control system are analyzed, and a control algorithm for the stepping motor is selected and evaluated. Through the comparative analysis of the active power and internal temperature curve for three kinds of output power of the prototype, it is proved that the environmental intelligent control system greatly improves the operation efficiency, solves typical problems in the ventilator room environment, and provides a solid theoretical basis for further research in this field.


Wind turbine; cabin environment; control system; computational fluid dynamics

Cite This Article

Wang, X., Zeng, G. (2022). Intelligent Control of Cabin Environment Using Computational Fluid Dynamics for Intelligent Manufacturing. FDMP-Fluid Dynamics & Materials Processing, 18(3), 563–576.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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