半集中式中央空调空气处理系统的控制研究

发布时间：2018-04-11 04:22

本文选题：中央空调 + 空气处理单元　；参考：《沈阳工业大学》2014年硕士论文

【摘要】：如今，全球传统能源逐渐紧张，新能源尚在开发与普及当中。我国的传统能源虽然储量很大，但是人均量在世界平均线以下。随着我国经济的高速发展，舒适的居住和办公环境成为国人新的追求目标。为满足人们的现代化需求，中央空调在现代化楼宇中得到广泛运用。人们的生活、工作舒适度得到了明显的提高。但是，中央空调的高能耗问题再次将能源与节能这一重要研究课题摆在了世人面前。通过大量阅读文献，分析了中央空调的结构以及运行原理和中央空调节能控制研究的脉络和发展方向，，从中发现，中央空调空气处理单元的运行效率对中央空调整体运行能耗的影响非常大。中央空调空气处理单元具有多输入多输出、非线性、强耦合等特性。对于此类对象应用传统建模方式很难获得较为精确的模型。因此，本文利用BP神经网络对中央空调空气处理单元建立模型，为控制策略的研究提供了可靠的对象。由于空气处理单元为多输入多输出复杂系统，输入量间存在复杂联系，干扰多并且对输出量影响较大，一般控制方法很难达到理想控制效果。所以本文最终选着模糊-PID控制策略。此控制方法通过模糊理论对PID参数在线整定，比经典PID控制策略适应性更强，抗干扰能力更为突出。本文利用MATLAB/SIMULINK仿真环境，建立实验系统。通过多组仿真实验，证实了建立的中央空调空气处理单元神经网络可以反映出真实系统的运行状态，在仿真实验中可以作为被控对象使用。同时证实了对于多输入多输出、多干扰的中央空调空气处理单元具有很好的控制作用。模糊-PID控制策略可以达到控制要求。
[Abstract]:Today, the global traditional energy gradually tense, new energy is still in development and popularization.China's traditional energy reserves are large, but the per capita amount is below the world average.With the rapid economic development of our country, comfortable living and office environment has become a new goal for Chinese people.In order to meet the needs of modernization, central air conditioning has been widely used in modern buildings.People's life, work comfort has been significantly improved.However, the high energy consumption of central air-conditioning once again puts the energy and energy conservation in front of the world.Through reading a large number of documents, this paper analyzes the structure and operation principle of central air conditioning, the context and development direction of the research on energy saving control of central air conditioning, and finds out from it,The operation efficiency of central air conditioning unit has a great influence on the whole operation energy consumption of central air conditioning.The air processing unit of central air conditioning has the characteristics of multi-input and multi-output, non-linearity and strong coupling.It is difficult to obtain more accurate models for such objects by applying traditional modeling methods.Therefore, BP neural network is used to model the air processing unit of central air conditioning system, which provides a reliable object for the study of control strategy.Because the air processing unit is a multi-input and multi-output complex system, there is a complex relationship between the input and output, and there is much interference and great influence on the output, so the general control method is difficult to achieve the ideal control effect.So the fuzzy-pid control strategy is chosen in this paper.The fuzzy theory is used to set the parameters of PID online, which is more adaptable than the classical PID control strategy, and the anti-jamming ability is more prominent.In this paper, the MATLAB/SIMULINK simulation environment is used to establish the experimental system.It is proved that the neural network of air processing unit of central air conditioning system can reflect the running state of the real system and can be used as the controlled object in the simulation experiment.At the same time, it is proved that the air processing unit of central air conditioning system has good control function for multi-input, multi-output and multi-interference.Fuzzy-pid control strategy can meet the control requirements.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB657.2;TP273

【参考文献】