【摘要】：科技的發(fā)展改變著人們生活的方方面面,照明領(lǐng)域也不例外。在傳統(tǒng)的照明系統(tǒng)中,當(dāng)開(kāi)關(guān)設(shè)備接通以后,燈具的亮度是保持不變的,無(wú)法滿(mǎn)足不同場(chǎng)景時(shí)多樣的照明需求,并且在許多情況下燈具產(chǎn)生的光照是超出人們實(shí)際的光照需求的,這就造成了能源的浪費(fèi)。目前照明領(lǐng)域中出現(xiàn)了許多可以對(duì)燈具的亮度進(jìn)行調(diào)節(jié)的照明控制系統(tǒng),但是當(dāng)面臨一些規(guī)模較大的照明場(chǎng)所時(shí),往往存在布線繁雜、組網(wǎng)不靈活等缺陷。針對(duì)上述的一些問(wèn)題,本文研究了一種分布式智能照明系統(tǒng),該智能照明系統(tǒng)可以自動(dòng)地調(diào)節(jié)燈具的亮度滿(mǎn)足人們多樣化的照明需求,同時(shí)也可以應(yīng)用于規(guī)模較大的照明場(chǎng)景中,并且具有無(wú)線數(shù)據(jù)傳輸、布置方便、組網(wǎng)靈活等優(yōu)點(diǎn)。本文首先設(shè)計(jì)了分布式智能照明系統(tǒng)的總體框架。給出了基于照明系統(tǒng)總計(jì)算任務(wù)劃分的總體方案設(shè)計(jì)思路和分布式智能照明系統(tǒng)的工作流程。同時(shí)還闡述了分布式智能照明系統(tǒng)的框架結(jié)構(gòu),并詳細(xì)描述了分布式智能照明系統(tǒng)中上層計(jì)算控制平臺(tái)和分計(jì)算控制平臺(tái)的功能以及它們之間的關(guān)系。在分布式智能照明系統(tǒng)總體框架的基礎(chǔ)上,本文對(duì)分布式智能照明系統(tǒng)的上層計(jì)算控制平臺(tái)和分計(jì)算控制平臺(tái)分別進(jìn)行了設(shè)計(jì)和實(shí)現(xiàn)。其中上層計(jì)算控制平臺(tái)基于Matlab/Simulink組件,分計(jì)算控制平臺(tái)基于Intel Edison計(jì)算模塊。論文給出了分計(jì)算控制平臺(tái)硬件系統(tǒng)和軟件系統(tǒng)的設(shè)計(jì)原則和流程。分計(jì)算控制平臺(tái)硬件系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn)包含器件的選型和硬件電路的設(shè)計(jì),軟件部分包括光照數(shù)據(jù)采集、LED亮度調(diào)節(jié)以及數(shù)據(jù)傳輸?shù)饶K的設(shè)計(jì)。同時(shí),為了更加切合實(shí)際場(chǎng)景,本文以實(shí)際房屋為原型,按一定的比例設(shè)計(jì)了一個(gè)實(shí)驗(yàn)用房屋模型。本文以自適應(yīng)反步方法作為智能照明系統(tǒng)的控制算法進(jìn)行了研究。介紹了反步控制方法和自適應(yīng)控制算法的基本原理,然后將自適應(yīng)控制算法和反步控制方法相結(jié)合,針對(duì)一類(lèi)含有未知參數(shù)的系統(tǒng)設(shè)計(jì)系統(tǒng)的控制律,同時(shí)證明系統(tǒng)的穩(wěn)定性,然后再選擇一個(gè)具體的系統(tǒng)進(jìn)行仿真并對(duì)仿真結(jié)果進(jìn)行分析。最后論文將分布式智能照明系統(tǒng)部署在實(shí)驗(yàn)用房屋模型中,以自適應(yīng)反步方法作為分布式智能照明系統(tǒng)的控制算法進(jìn)行多組實(shí)驗(yàn)。并對(duì)實(shí)驗(yàn)結(jié)果進(jìn)行分析,從而證明分布式智能照明系統(tǒng)及自適應(yīng)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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TM923;TP273

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