The design of constant-temperature-and-humidity box based on LabVIEW
On LabVIEW, a constant-temperature-and-humidity box is designed based on PID neural network decoupling control.
For temperature measurement system, we use multi-sensor data fusion algorithm to process data. For humidity
measurement system, we adopt dynamic filter technique to optimize data, and we use time series predictor using neural
network to detect single sensor's fault. The coupling relation between the temperature and humidity has been considered.
The detailed control algorithm of the system has been given. The simulating results of the system's mathematical model
indicate that the controller can be applied to a coupling multi-input and multi-output (MIMO) system to decouple
multivariable system or trace the set point value, and it has a perfect dynamic and static response performance.
Compared with fuzzy and decoupling control system, this measure has higher static precision and can eliminate system
error. What's more, the system is high reliable. Another feature of this system is operation easily, setting of temperature
and humidity separately, cost low, and quality of the control curve visible owing to LabVIEW. This method also uses
LabVIEW's features that it is interactive graphics, a state-of-the-art interface, and a powerful graphical programming
language to make this system briefly.
This paper was published in SPIE Proceedings Vol. 6358
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, Jiancheng Fang; Zhongyu Wang, Editors, 63580O