發(fā)布時(shí)間：2018-08-17 19:35

【摘要】：在太陽(yáng)能的利用中,太陽(yáng)能照明占有重要的位置,特別是太陽(yáng)能路燈產(chǎn)業(yè)發(fā)展很快。但在太陽(yáng)能路燈控制系統(tǒng)中,還存在著許多需要亟待解決的問(wèn)題,主要是它的能源平衡問(wèn)題和供電的穩(wěn)定性和智能性控制,因此控制器性能和管理儲(chǔ)能策略一直是研究的重點(diǎn)。本文依托成都金堂國(guó)際鐵人三項(xiàng)賽場(chǎng)太陽(yáng)能路燈照明系統(tǒng),對(duì)基于獨(dú)立太陽(yáng)能供電的照明系統(tǒng)控制及蓄電池狀態(tài)監(jiān)測(cè)進(jìn)行了研究。 本文首先對(duì)太陽(yáng)能電池板特性和鉛酸蓄電池特性和充放電方式進(jìn)行了分析。在研究了太陽(yáng)能電池的最大功率點(diǎn)跟蹤問(wèn)題和蓄電池優(yōu)化充放電策略問(wèn)題之后,設(shè)計(jì)出了一種基于單片機(jī)AT89S52的具有自適應(yīng)功能的控制器,用以改進(jìn)充放電控制方法。并采用反向傳播(BP)神經(jīng)網(wǎng)絡(luò)算法預(yù)測(cè)閥控密封式鉛酸蓄電池(VRLA)的剩余容量放電控制法的新思路,對(duì)蓄電池工作狀態(tài)進(jìn)行實(shí)時(shí)監(jiān)測(cè),提高了系統(tǒng)的工作效率,有效延長(zhǎng)蓄電池的使用壽命。 系統(tǒng)采用PWM控制的三階段充電方法,同時(shí)采用最大功率跟蹤算法,增大光伏電池陣列的輸出；放電時(shí)基于BP神經(jīng)網(wǎng)絡(luò)算法,預(yù)測(cè)荷電狀態(tài),調(diào)整LED燈功率大小和工作時(shí)長(zhǎng),并且完成了與上位機(jī)的串口通信,通過(guò)LabVIEW人機(jī)交互界面實(shí)時(shí)監(jiān)測(cè)蓄電池工作狀態(tài)。 為了驗(yàn)證研究的有效性,在實(shí)驗(yàn)室條件下對(duì)各模塊硬件電路搭建了硬件平臺(tái),并利用C語(yǔ)言編寫(xiě)了單片機(jī)的控制程序和相應(yīng)算法,通過(guò)實(shí)驗(yàn)結(jié)果,證明研究結(jié)論正確,實(shí)現(xiàn)了預(yù)期的功能。 最后對(duì)控制器系統(tǒng)主要功能進(jìn)行測(cè)試,并對(duì)測(cè)試結(jié)果做了分析,系統(tǒng)能夠滿足實(shí)際應(yīng)用的要求。
[Abstract]:Solar lighting plays an important role in the utilization of solar energy, especially the development of solar street lamp industry. However, there are still many problems to be solved in the solar streetlight control system, mainly the energy balance and the stability and intelligent control of the power supply. Therefore, the performance of the controller and the management of energy storage strategy have been the focus of research. In this paper, based on the solar lighting system of Chengdu Jintang International Triathlon, the control of the lighting system based on independent solar power supply and the monitoring of battery status are studied. In this paper, the characteristics of solar panels, lead acid batteries and charge-discharge modes are analyzed. After studying the problem of maximum power point tracking of solar cells and the optimal charging and discharging strategy of batteries, a controller with adaptive function based on single chip computer (AT89S52) is designed to improve the charging and discharging control method. A new idea of predicting the residual capacity discharge control method of valve-controlled sealed lead-acid battery (VRLA) by using the back-propagation (BP) neural network algorithm is presented. The real-time monitoring of the battery working state is carried out, and the working efficiency of the system is improved. Effectively prolong the service life of battery. The system adopts the three-stage charging method controlled by PWM and the maximum power tracking algorithm to increase the output of the photovoltaic cell array, and the discharge is based on BP neural network algorithm to predict the charged state, adjust the power size and the working time of the LED lamp. The serial port communication with the host computer is completed, and the storage battery working state is monitored by the LabVIEW man-machine interface. In order to verify the validity of the research, the hardware platform of each module hardware circuit is built under the condition of laboratory, and the control program and corresponding algorithm of single chip computer are compiled with C language. The experimental results show that the research conclusion is correct. The expected function is realized. Finally, the main functions of the controller system are tested, and the test results are analyzed. The system can meet the requirements of practical application.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM912;TM914.4

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