Research On Intelligent Control Of VAV Air Conditioning System

With the rapid development of society and the improvement of people's quality of life,intelligent buildings have ushered in a stage of rapid development in my country.The central air-conditioning system is an extremely important part of an intelligent building.Its main task is to regulate indoor air quality and provide a comfortable atmosphere for people.For full air conditioning,in most cases,the variable air volume air conditioning system(VAV)is superior to the traditional air conditioning in terms of energy saving and comfort,so the research and development of VAV air conditioning system has become the focus of attention Object.Due to the complex structure of the VAV system and its nonlinear,time-varying,hysteretic,and coupling properties,in practical applications,the dynamic characteristics of the VAV system under traditional control methods are poor,and the system's anti-interference performance needs to be improved.The indoor temperature even when the disturbance is serious Unstable for a long time,resulting in the energy saving and comfort of the VAV system cannot be fully exerted.This paper mainly studies the fan frequency-pipe static pressure control loop of the VAV system and the air-conditioning room temperature control loop,and optimizes the fan frequency-pipe static pressure control loop and the air-conditioning room temperature control loop by combining intelligent algorithms and PID control.Control effect.The working mode of the system is constant static pressure control,and the terminal device(VAV box)is selected to be pressure-independent.It provides solutions to the interference and non-linear problems of indoor temperature control,and establishes the fan frequency-pipe static pressure,air-conditioned room And the transfer function model of the terminal device.An improved single neuron PID controller and fuzzy PID controller are designed on the computer,and the improved single neuron PID control is applied to the fan frequency-pipe static pressure control loop,and the air conditioning room temperature control loop uses fuzzy PID control,Use Matlab/Simulink for modeling and simulation,and compare it with the conventional PID control simulation results.The experimental results show that compared with the conventional PID control,the improved single neuron PID control and fuzzy PID control in their respective control loops,their control effects are greatly improved.Through the improved single neuron PID control and fuzzy PID control,the stability of the air supply at the end of the VAV air conditioner and the stability of the indoor temperature are effectively improved.The maximum dynamic deviation generated by the system is smaller,the adjustment time is shorter and there is better Anti-interference,which has certain theoretical significance for improving the comfort of VAV system air-conditioned rooms.