Nonlinear self-adapting energy-saving control method for heating ventilation air-conditioning system

Abstract

The invention discloses a nonlinear self-adapting energy-saving control method for a heating ventilation air-conditioning system. The method aims at the problems existing in the control research of the conventional heating ventilation air-conditioning system, realizes the energy-saving and optimization control of the air-conditioning system and mainly controls a temperature and a relative humidity from the standpoint of the global energy management of the system. The two parameters, namely the temperature and the relative humidity, are normally two regulated quantities which are simultaneously regulated in a regulation object and influence mutually in the regulating process, thus, the relativity of the temperature and the humidity is sufficiently considered in the automatic controlling process. An automatic air conditioning control system is an integrated control system which takes the temperature and humidity control of an air conditioning room as the center and makes each link in close connection with each other through the switching of the working condition and the air treatment process. Any link going wrong can influence the temperature and humidity regulation of the air conditioning room and even make the whole regulation system not work normally.

Description

technical field [0001] The invention belongs to the field of automatic control of HVAC systems, in particular to the field of nonlinear self-adaptive control. Background technique [0002] HVAC system (Heating, ventilating, and airconditioning system, referred to as HVAC system), as one of the important components of modern buildings, is an indispensable energy-consuming operation system in modern buildings, and is undoubtedly an important research direction in the field of building automation. It can control And maintain the appropriate temperature, humidity pressure and other comfort levels in the air to provide people with a comfortable production and living environment, but the energy consumed by the HVAC system is also very alarming. In my country, the proportion of building energy consumption in the total energy consumption is increasing, and it has already accounted for 30% of the country's total energy consumption. In building energy consumption, the energy consumed ...

AI Technical Summary

Problems solved by technology

[0011] 1) At present, most of the research on control strategies of HVAC systems still stays on traditional strategies such as PID, DDC, DLC, switch control, etc., or will use fuzzy, neural network, genetic algorithm, etc. to adjust PID control parameters to improve PID control performance. Non-linear multivariable control of HVAC systems is not fundamentally realized;

[0012] 2) At present, the non-linear adaptive control algorithms of HVAC systems mainly include intelligent control algorithms such as fuzzy and neural networks. There is no controller design based on the nonlinear mathematical model of the system, so there is a lot of inaccuracy. It is impossible to improve energy utilization efficiency through direct optimal control of temperature and humidity, so it is dif

Images