随着社会的快速发展，人们生活质量日益提高，智能建筑在我国迎来了高速发展阶段。中央空调系统是智能建筑极其重要的一部分，其主要任务是调节室内空气品质，为人们提供一个舒适的大气环境。对于全空气调节而言，大多数情况下变风量空调系统（VAV）在节能性和舒适性上都要优于传统的空气调节方式，因此对VAV空调系统的研究和发展成为了人们的重点关注对象。

由于VAV系统结构复杂且具有非线性、时变性、滞后性和耦合性，在实际应用中，传统控制方法下的VAV系统动态特性较差，且系统抗干扰性能有待提升，扰动严重时室内温度甚至在长时间无法稳定，导致VAV系统的节能性和舒适性不能完全发挥出来。本文主要对VAV系统的风机频率-管道静压控制回路以及空调房间温度控制回路进行了研究，以智能算法与PID控制相结合的方式来优化风机频率-管道静压控制回路和空调房间温度控制回路的控制效果。系统的工作方式为定静压控制，末端装置（VAV box）选为压力无关型，对室内温度控制存在的干扰及非线性问题给出解决方案，并建立了风机频率-管道静压、空调房间及末端装置的传递函数模型。在计算机上设计了改进的单神经元PID控制器和模糊PID控制器，并将改进的单神经元PID控制运用到风机频率-管道静压控制回路中，空调房间温度控制回路则采用模糊PID控制，利用Matlab/Simulink进行建模和仿真，并将其与常规PID控制的仿真结果进行比较分析。实验结果表明，相比于常规PID控制，改进的单神经元PID控制和模糊PID控制在各自的控制回路中，其控制效果均有较大的提升。

通过改进的单神经元PID控制和模糊PID控制，有效的提升了VAV空调末端供风量的稳定性和室内温度的稳定性，系统产生的最大动态偏差更小、调节时间更短且有更好的抗干扰性，这对提高VAV系统空调房间的舒适性有一定的理论意义。

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.