Fuzzy Control Algorithm Applied on Constant Airflow Controlling of Fans

Wangsheng Sun, Haiqing Si (), Yao Li, Haibo Wang (), Jingxuan Qiu and Gen Li
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Wangsheng Sun: College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Haiqing Si: College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Yao Li: College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Haibo Wang: College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Jingxuan Qiu: College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Gen Li: College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Energies, 2023, vol. 16, issue 11, 1-16

Abstract: Keeping a certain constant airflow in a lot of applications is critical, such as certain airflow volumes in the cabin of an aircraft, submarines, tunnels, and buildings. All fans change their output airflow and air pressure by changing motor speed in real applications. In order to achieve the target airflow volume, normal operation detects the data first, then provides orders to engineers to adjust manually. Extra airflow volume sensors are equipped to measure the airflow so that people know what the current airflow is and how much needs to be adjusted. Based on normal technology, airflow volume sensors and motor speed inverters are necessary parts of a whole air supply system. This research tries to integrate a fuzzy control algorithm into a motor control technology to build a new kind of fan that can not only self-detect the airflow volume changes but also can self-adjust the airflow volumes automatically. This self-detecting and adjusting fan can lead air supply systems in devices and buildings to need no airflow volume sensors, make the air supply system building cost lower, and make the maintaining and operating cost lower.

Keywords: fans; constant airflow; fuzzy control algorithm; motor controlling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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