Method for controlling variable temperature and humidity interval of central air conditioner

Abstract

The invention relates to a method for controlling the variable temperature and humidity interval of a central air conditioner. The method includes a temperature loop control method and a humidity loop control method. The temperature loop control method includes the steps that after a unit is operated, whether the current environment temperature is within the safety interval set in a program or not is judged; if the current environment temperature is within the safety interval, the temperature set value is in a change following state, and PID variables are triggered to be reset; thirdly, if the current environment temperature is not within the safety interval, the temperature set value is set to be the upper limit value regulated in the program when the current environment temperature is larger than values within the safety interval, PID trigger adjustment is conducted, and the temperature value is controlled towards the safety interval at the highest system speed; when the current environment temperature is smaller than the values within the safety interval, the temperature set value is set to be the lower limit value regulated in the program, PID trigger adjustment is conducted, and the temperature value is controlled towards the safety interval at the highest system speed. The process of the humidity loop control method is the same as that of the temperature loop control method. The method meets the maximal energy-saving space requirements.

Description

technical field [0001] The invention relates to the temperature and humidity control of the production environment of the manufacturing industry, in particular to a method for controlling the variable temperature and humidity intervals of a central air conditioner. Background technique [0002] Collect relevant data for the central air conditioner, and use the least squares method to establish a mathematical model (first-order inertial lag + pure lag model) between the opening of the cold water valve and the temperature in the room of the factory building through MATLAB software to provide a model basis for system simulation. Using the SMITH prediction principle, a weighted average filter is added to the prediction error loop to enhance the stability of the system. Using the principle of fuzzy adaptive PID algorithm, and aiming at the mathematical model between the central air-conditioning cold water valve and room temperature, using fuzzy adaptive PID + improved SMTIH p...

AI Technical Summary

Problems solved by technology

However, this control method ultimately achieves the energy-saving effect by adjusting the PID given value, that is, the system response speed and control accuracy. The human factor is relatively large, and it cannot dig the most in-depth energy-saving space.

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