Open AccessResearch on neuron PID- controlled simple wind tunnel system
Author(s) -
Jin Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012060
Subject(s) - pid controller , wind tunnel , control theory (sociology) , table (database) , position (finance) , adaptability , simulation , control system , computer science , engineering , control (management) , control engineering , artificial intelligence , temperature control , electrical engineering , aerospace engineering , ecology , finance , biology , economics , data mining
The motion of the object in the wind tunnel is irregular. In order to control it accurately, a simple device is designed. The table tennis is blown by fan, its position in wind tunnel is measured by ultrasonic module, and its motion is controlled by PID algorithm. In order to accurately control the position and orientation of table tennis in the wind tunnel, an improved adaptive PID control algorithm is used to generate PWM wave to control the wind force of the axial flow fan. The online adjustment of P, I and D parameters is realized to improve the adaptability of the system. The test results show that the table tennis can hover at any given position or move regularly through the self-adaptive PID adjustment and the automatic adjustment of online parameters.