(1) Experimental Research Method on Manual Control Process of a Constant Temperature and Humidity Chamber
A constant temperature and humidity chamber was selected as the test object. When the automatic control system was not installed, manual operations such as humidification, heating, and exhaust were conducted, and the process was recorded. The main data collected included operating time, internal temperature, internal humidity, exhaust air flow rate, exhaust air velocity, ambient temperature, and environmental humidity. This experimental approach allowed for a detailed understanding of the manual control process and provided foundational data for further research.
(2) Establishing an Adaptive Inverse Control Model
Based on the experimental data collected, this study analyzed both single-factor and multi-factor experiments to develop a mathematical model for temperature and humidity control through nonlinear fitting. Due to the complexity of the temperature and humidity control process—characterized by multiple variables, large time delays, and nonlinearity—linearization, decoupling, and time delay compensation were necessary. To address these challenges, the inverse control method for multivariable nonlinear systems was applied to refine the mathematical model, enabling more accurate and efficient control system design.
(3) Research Method for Developing a Constant Temperature and Humidity Test Chamber
Using the adaptive inverse control model developed in the previous section, a new constant temperature and humidity test chamber was designed and built. The equipment includes key components such as a refrigeration system, heating system, dehumidification system, humidification system, water tank, and a wet box. It is equipped with a PLC and a temperature and humidity controller as the automation platform, along with temperature and humidity sensors, a touch screen, and solid-state relays, forming an integrated electric control system. The temperature and humidity sensors detect the induced voltage, which is directly connected to the controller. Based on the adaptive inverse control model, a -10V linear output is used to control the heating system. The solid-state relay is controlled via PWM, adjusting the on-off frequency to regulate the humidification system's switch-on time, ultimately maintaining stable temperature and humidity inside the chamber.
This approach ensures precise and consistent environmental conditions, making it suitable for various testing applications.
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