分布式智能照明系统及其控制算法的研究
发布时间：2018-08-26 17:17
【摘要】：科技的发展改变着人们生活的方方面面,照明领域也不例外。在传统的照明系统中,当开关设备接通以后,灯具的亮度是保持不变的,无法满足不同场景时多样的照明需求,并且在许多情况下灯具产生的光照是超出人们实际的光照需求的,这就造成了能源的浪费。目前照明领域中出现了许多可以对灯具的亮度进行调节的照明控制系统,但是当面临一些规模较大的照明场所时,往往存在布线繁杂、组网不灵活等缺陷。针对上述的一些问题,本文研究了一种分布式智能照明系统,该智能照明系统可以自动地调节灯具的亮度满足人们多样化的照明需求,同时也可以应用于规模较大的照明场景中,并且具有无线数据传输、布置方便、组网灵活等优点。本文首先设计了分布式智能照明系统的总体框架。给出了基于照明系统总计算任务划分的总体方案设计思路和分布式智能照明系统的工作流程。同时还阐述了分布式智能照明系统的框架结构,并详细描述了分布式智能照明系统中上层计算控制平台和分计算控制平台的功能以及它们之间的关系。在分布式智能照明系统总体框架的基础上,本文对分布式智能照明系统的上层计算控制平台和分计算控制平台分别进行了设计和实现。其中上层计算控制平台基于Matlab/Simulink组件,分计算控制平台基于Intel Edison计算模块。论文给出了分计算控制平台硬件系统和软件系统的设计原则和流程。分计算控制平台硬件系统的设计和实现包含器件的选型和硬件电路的设计,软件部分包括光照数据采集、LED亮度调节以及数据传输等模块的设计。同时,为了更加切合实际场景,本文以实际房屋为原型,按一定的比例设计了一个实验用房屋模型。本文以自适应反步方法作为智能照明系统的控制算法进行了研究。介绍了反步控制方法和自适应控制算法的基本原理,然后将自适应控制算法和反步控制方法相结合,针对一类含有未知参数的系统设计系统的控制律,同时证明系统的稳定性,然后再选择一个具体的系统进行仿真并对仿真结果进行分析。最后论文将分布式智能照明系统部署在实验用房屋模型中,以自适应反步方法作为分布式智能照明系统的控制算法进行多组实验。并对实验结果进行分析,从而证明分布式智能照明系统及自适应反步控制算法的可行性。
[Abstract]:The development of science and technology changes all aspects of people's life, lighting field is no exception. In the traditional lighting system, when the switchgear is turned on, the luminance of the lamp is kept unchanged, which can not meet the various lighting requirements in different scenes. And in many cases, the lighting is more than people's actual lighting needs, which results in a waste of energy. At present, there are many lighting control systems which can adjust the luminance of lamps in the field of lighting. However, when faced with some large lighting places, there are many defects such as complicated wiring and inflexible networking. In view of the above problems, this paper studies a distributed intelligent lighting system, which can automatically adjust the luminance of lamps to meet the diverse lighting needs. At the same time, it can also be used in large scale lighting scenes, and has the advantages of wireless data transmission, convenient layout, flexible networking and so on. This paper first designs the general framework of distributed intelligent lighting system. The design idea of the overall scheme and the workflow of the distributed intelligent lighting system based on the total calculation task division of the lighting system are presented. At the same time, the frame structure of distributed intelligent lighting system is expounded, and the functions of upper layer computing control platform and sub-computing control platform in distributed intelligent lighting system and their relationship are described in detail. Based on the general framework of distributed intelligent lighting system, the upper computational control platform and the sub-computing control platform of distributed intelligent lighting system are designed and implemented in this paper. The upper computational control platform is based on Matlab/Simulink component, and the computing control platform is based on Intel Edison computing module. The design principles and flow chart of the hardware and software systems of the computer control platform are given in this paper. The design and implementation of the hardware system of the computer control platform include the selection of the device and the design of the hardware circuit. The software part includes the design of the LED luminance adjustment and the data transmission module. At the same time, in order to be more practical, this paper designs an experimental housing model based on the prototype of the real house. In this paper, the adaptive backstepping method is used as the control algorithm of the intelligent lighting system. This paper introduces the basic principle of backstepping control method and adaptive control algorithm, then combines adaptive control algorithm with backstepping control method to design the control law for a class of systems with unknown parameters, and proves the stability of the system. Then a specific system is selected for simulation and the simulation results are analyzed. Finally, the distributed intelligent lighting system is deployed in the experimental building model, and the adaptive backstepping method is used as the control algorithm of the distributed intelligent lighting system. The experimental results show that the distributed intelligent lighting system and the adaptive backstepping control algorithm are feasible.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM923;TP273
本文编号：2205608
[Abstract]:The development of science and technology changes all aspects of people's life, lighting field is no exception. In the traditional lighting system, when the switchgear is turned on, the luminance of the lamp is kept unchanged, which can not meet the various lighting requirements in different scenes. And in many cases, the lighting is more than people's actual lighting needs, which results in a waste of energy. At present, there are many lighting control systems which can adjust the luminance of lamps in the field of lighting. However, when faced with some large lighting places, there are many defects such as complicated wiring and inflexible networking. In view of the above problems, this paper studies a distributed intelligent lighting system, which can automatically adjust the luminance of lamps to meet the diverse lighting needs. At the same time, it can also be used in large scale lighting scenes, and has the advantages of wireless data transmission, convenient layout, flexible networking and so on. This paper first designs the general framework of distributed intelligent lighting system. The design idea of the overall scheme and the workflow of the distributed intelligent lighting system based on the total calculation task division of the lighting system are presented. At the same time, the frame structure of distributed intelligent lighting system is expounded, and the functions of upper layer computing control platform and sub-computing control platform in distributed intelligent lighting system and their relationship are described in detail. Based on the general framework of distributed intelligent lighting system, the upper computational control platform and the sub-computing control platform of distributed intelligent lighting system are designed and implemented in this paper. The upper computational control platform is based on Matlab/Simulink component, and the computing control platform is based on Intel Edison computing module. The design principles and flow chart of the hardware and software systems of the computer control platform are given in this paper. The design and implementation of the hardware system of the computer control platform include the selection of the device and the design of the hardware circuit. The software part includes the design of the LED luminance adjustment and the data transmission module. At the same time, in order to be more practical, this paper designs an experimental housing model based on the prototype of the real house. In this paper, the adaptive backstepping method is used as the control algorithm of the intelligent lighting system. This paper introduces the basic principle of backstepping control method and adaptive control algorithm, then combines adaptive control algorithm with backstepping control method to design the control law for a class of systems with unknown parameters, and proves the stability of the system. Then a specific system is selected for simulation and the simulation results are analyzed. Finally, the distributed intelligent lighting system is deployed in the experimental building model, and the adaptive backstepping method is used as the control algorithm of the distributed intelligent lighting system. The experimental results show that the distributed intelligent lighting system and the adaptive backstepping control algorithm are feasible.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM923;TP273
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