智能照明系统粒子群优化的PID控制方法研究
[Abstract]:With the increasing number of high-rise buildings (such as high-grade hotels, high-rise residential buildings, high-grade office buildings, etc.) in recent years, the traditional building lighting system consumes a lot of energy. Moreover, the illumination of lamps and curtains can not be adjusted in real time according to the change of indoor real time illumination, and the control mode is single and the system lags behind seriously, so it can not meet the increasing lighting environment. Lighting atmosphere, lighting use of different needs. In the field of intelligent building, the energy consumption of lighting system is always an important part of building energy consumption. According to scientific research, the energy consumption of lighting part of the building energy consumption in our country accounts for more than 27% of the total building energy consumption. In the era of gradual depletion of energy in the world, energy-saving problems of buildings become more prominent. In order to solve the problem of energy consumption of the system, the natural light source is introduced into indoor lighting, and the energy saving is achieved by mixing it with artificial light source. In order to meet the requirements of different room contrast degree and self-adjustment of the system, this paper adopts PID controller to control the illumination system and the occlusion system, and adjusts the proportion, integral and differential variables in the PID control. Can more accurate contrast to grade, so as to meet different needs. Because the selection of traditional PID control parameters is an important index to decide whether the system is good or not, the particle swarm optimization algorithm is introduced in this paper, with the help of the characteristics of particle swarm optimization. The illumination control system can fulfill the preset control requirements more quickly, and through the analysis of particle swarm optimization, particle swarm optimization algorithm can make the system run faster, more reliable and more energy saving. The specific work of this paper is as follows: (1) the natural light and artificial light sources are effectively used for mixed lighting. According to the current illumination and the degree of human eye comfort, the shading angle and elevating height of indoor blinds can be adjusted actively. (2) the optimal control of the luminance combination of indoor lamps and lanterns is carried out. Light sensor is used to collect the illuminance value of observation point and adjust the luminaire with PID control. (3) in order to optimize the parameters of PID control, the particle swarm optimization algorithm is introduced. Furthermore, by optimizing the selection of initial population and the process of optimization, the situation of local optimum is avoided. (4) the reliable operation of the system is verified by computer simulation combined with the above research content design system. Through the comprehensive analysis of the results, the future research direction is clarified. With the increasing depletion of non-renewable resources in the world and the increasing energy tension, the problems in our energy industry are becoming more and more obvious. Therefore, in order to cope with the challenge of limited resources in the future, it is also for the benefit of future generations. In the field of building lighting, intelligent automatic regulation lighting system with more energy saving potential will become the focus of future development, which is the theoretical significance and practical value of this paper.
【学位授予单位】:沈阳建筑大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TU113.66;TP18
【相似文献】
相关期刊论文 前10条
1 黄卜夫,吴明光,李海学,应雪正;数字化智能照明系统的设计[J];中国照明电器;2001年01期
2 沈瑞珠;智能照明系统在智能建筑中的应用[J];低压电器;2002年05期
3 刘敢峰,谢锋,吴明光;智能照明系统的研制与开发[J];微电子学;2003年01期
4 洪胜华 ,李文 ,王炜立;网络化智能照明系统技术剖析[J];艺术科技;2004年04期
5 李健;宣轩;李志来;;智能照明系统在某酒店中的应用分析[J];智能建筑电气技术;2010年04期
6 潘龙;;智能照明系统节能分析及设计[J];建筑节能;2011年06期
7 王新芳;;智能照明系统的投资与节能分析[J];建筑经济;2011年S1期
8 皮志媛;;关于智能照明系统设计的探讨[J];黑龙江科技信息;2011年28期
9 聂佳;沈克镇;胡宪立;;基于ZigBee Light Link的智能照明系统的研究与应用[J];现代建筑电气;2013年10期
10 杭仁杰;;双数字智能照明系统在南京军区南京总医院的应用[J];光源与照明;2007年03期
相关会议论文 前5条
1 段彩麟;徐莹;;智能照明系统的应用[A];《节能照明控制与LED技术学术论坛》论文集[C];2010年
2 张鹏;钱泽文;;住宅小区智能照明系统的设计[A];经济策论(上)[C];2011年
3 朱小枋;;体育场馆智能照明系统[A];天津市自动化学会第十四届学术年会论文集[C];2005年
4 张营;李楠;;智能照明控制系统的特点与应用[A];天津市电视技术研究会2011年年会论文集[C];2011年
5 温兆奇;徐军明;吴欢欢;沈煜;秦惠民;;基于GPRS的智能照明系统控制终端的设计与实现[A];2012(杭州)中国长三角照明科技论坛论文集[C];2012年
相关重要报纸文章 前6条
1 雷闯;智能照明系统将在武汉推广[N];中国建设报;2010年
2 通讯员 魏庆 潘碧影 记者 廖礼中;丽水:隧道智能照明系统年省电费超百万[N];中国交通报;2011年
3 王新芳;智能照明系统应用于绿色楼宇前景可期[N];中国建设报;2012年
4 蔺丽爽;智能照明系统走入百姓家[N];中华建筑报;2004年
5 绍兴市中博景观环境建设有限公司 田如林邋张强;智能照明系统与楼宇自控系统的区别[N];建筑时报;2008年
6 北京市建筑设计研究院 张曙光;智能照明系统及其工程应用[N];中华建筑报;2007年
相关硕士学位论文 前10条
1 骆华;基于ZigBee和STM32的智能照明系统设计[D];曲阜师范大学;2015年
2 郭冲冲;基于多协议的LED智能照明系统设计[D];天津工业大学;2016年
3 刘芷含;基于C-Bus总线的智能照明系统的研究[D];吉林建筑大学;2016年
4 欧阳欢欢;基于ZigBee智能照明系统的小车定位与导航技术研究[D];深圳大学;2016年
5 陈超;智能照明系统粒子群优化的PID控制方法研究[D];沈阳建筑大学;2015年
6 李鑫;基于ZigBee的无线智能照明系统的研究[D];天津大学;2010年
7 卢望;基于人体特征检测的智能照明系统[D];浙江工业大学;2007年
8 佘咸宁;支持智能手机控制的DALI智能照明系统的研究[D];广东工业大学;2013年
9 单浩仁;基于DALI的智能照明系统硬件设计[D];西安电子科技大学;2010年
10 孙晶;基于物联网技术的工厂智能照明系统的设计[D];成都理工大学;2012年
,本文编号:2140171
本文链接:https://www.wllwen.com/jingjilunwen/jianzhujingjilunwen/2140171.html