Air conditioner control method and air conditioner

Abstract

The invention provides an air conditioner control method. The method comprises the steps of determining a pressure error value and a pressure error change value based on an actual pressure value and a target pressure value; defining a fuzzy subset, establishing a discrete domain, and calculating a pressure error value and a membership degree of a pressure error change value to the fuzzy subset; adaptively generating a fuzzy rule table according to system characteristics and environmental conditions; performing defuzzification according to a gravity center method, and determining a proportion parameter increment and an integral parameter increment; and based on a calculation formula of a PID controller, the proportion parameter increment and the integral parameter increment, obtaining a control signal of an outdoor fan, and then adjusting the speed of the outdoor fan. According to the air conditioner control method, the link of manual trial and error in the process of establishing the fuzzy rule table is omitted, resources and cost are saved, meanwhile, the operation period of the fuzzy rule table is effectively shortened, and the air conditioner operation process is more stable and reliable. The invention further provides the air conditioner adopting the method, and the air conditioner has the advantages of timeliness and stability.

Description

technical field [0001] The invention belongs to the technical field of air conditioners, and in particular relates to an air conditioner control method and an air conditioner. Background technique [0002] Traditional PID controllers are usually used in existing air conditioners to control the pressure of air conditioners. The traditional PID controllers have a simple structure and certain robustness. The control process is easy to implement and can meet the requirements of most industrial controls. However, in the face of different environmental requirements, special air conditioners need to set different target pressures under different working conditions. In this case, the traditional PID controller has control lag, large error, time-varying parameters and model uncertainty to varying degrees. However, the disadvantages are that the control process is time-consuming and labor-intensive, and there is also the problem that it is easy to cause system oscillation. Contents ...

AI Technical Summary

Problems solved by technology

[0002] Traditional PID controllers are usually used to control the pressure of air conditioners in existing air conditioners. The traditional PID controllers have a simple structure and certain robustness. The control process is easy to implement and can meet the requirements of most industrial controls.

However, in the face of different environmental requirements, special air conditioners need to set different target pressures under different working conditions. In this case, the traditional PID controller has control lag, large error, time-varying parameters and model uncertainty to varying degrees. The shortcomings of the nature, and its control process is time-consuming and labor-intensive, and there is also the problem that it is easy to cause system oscillation

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