本文選題：S7-1200PLC + TIA博圖軟件�。� 參考：《曲阜師范大學(xué)》2017年碩士論文

【摘要】：隨著經(jīng)濟(jì)和城鎮(zhèn)建設(shè)的飛速發(fā)展,高層建筑越來越多。直梯作為高效、便利的樓宇內(nèi)部交通工具,它的應(yīng)用越來越廣泛,電梯制造業(yè)正在快速超前發(fā)展。十九世紀(jì)五十年代,美國人Elisha·Otis研究出世界上首部帶有安全裝置的載人升降機。又經(jīng)過100多年的發(fā)展,電梯在生產(chǎn)流程、組件材料、內(nèi)部結(jié)構(gòu)及控制技術(shù)等方面都有了革命性的創(chuàng)新。現(xiàn)代建筑樓層較高、客流量較大時,單臺電梯己不能滿足人們的使用需求,需安裝多臺電梯。這個時候就出現(xiàn)了兩部以上并聯(lián)連接,共用大廳呼喚的群控電梯。本文以三部六層并聯(lián)電梯模型為例來研究群控電梯的智能控制與監(jiān)測系統(tǒng)設(shè)計。設(shè)計了群控電梯多目標(biāo)多規(guī)則模糊控制算法;用西門子S7-1200PLC設(shè)計了電梯系統(tǒng)基本功能程序;并通過編程對現(xiàn)代智能電梯進(jìn)行了幾點改進(jìn)創(chuàng)新。本文利用博圖軟件設(shè)計了硬件、監(jiān)控畫面和控制程序。采用WinCC作為上位機監(jiān)測電梯運行,出現(xiàn)故障及時報警,實時數(shù)據(jù)存盤等,并對仿真數(shù)據(jù)進(jìn)行分析處理。三部六層并聯(lián)電梯智能控制的設(shè)計難點在于信號集選控制。本文從乘客平均候梯時間、乘客平均乘梯時間、能源消耗量和轎廂利用率等方面綜合考慮,采用多目標(biāo)多規(guī)則模糊控制算法,實現(xiàn)群控電梯智能控制。本文用PLC設(shè)計了三部六層并聯(lián)電梯智能控制,多層多部并聯(lián)電梯(即群控電梯)設(shè)計思路也是如此。本文軟件設(shè)計部分先給出了整個電梯群控系統(tǒng)總設(shè)計流程。然后設(shè)計了初始化、集選控制、高低速運行、開關(guān)門、開關(guān)門保護(hù)、轎廂平層及數(shù)碼管顯示等基本功能程序。并通過編程設(shè)計了電梯一些改進(jìn)創(chuàng)新功能,比如,三級制動剎車、上下限位終端保護(hù)、錯誤指令消除、錯層保護(hù)、待載休眠和故障中斷功能。最后對整個電梯群控系統(tǒng)進(jìn)行了仿真,通過實驗數(shù)據(jù)驗證了本文中多目標(biāo)多規(guī)則模糊控制算法比傳統(tǒng)控制算法更優(yōu)越、更完善。
[Abstract]:With the rapid development of economy and town construction, more and more high-rise buildings are built. As an efficient and convenient means of transportation in buildings, the elevator manufacturing industry is developing rapidly. In the 1950 s, Elisha Otis, an American, developed the world's first manned lift with a safety device. After more than 100 years of development, the elevator has revolutionary innovation in production process, component material, internal structure and control technology. When the modern building floor is high and the passenger flow is large, the single elevator can not meet the needs of people, so it is necessary to install many elevators. At this time, there are more than two parallel connections, the common hall called group control elevator. In this paper, the intelligent control and monitoring system design of group control elevator is studied by taking three six-story parallel elevator models as an example. The fuzzy control algorithm of group control elevator is designed, the basic function program of elevator system is designed with Siemens S7-1200PLC, and the modern intelligent elevator is improved and innovated by programming. The hardware, monitor screen and control program are designed by using the software of Botu. WinCC is used as the upper computer to monitor the elevator running, to alarm the faults in time, to save the data in real time, and to analyze and process the simulation data. The design difficulty of intelligent control of three-layer and six-story parallel elevator lies in the signal selection control. Considering the average waiting time of passengers, the average travel time of passengers, the consumption of energy and the utilization ratio of car, this paper adopts multi-objective and multi-rule fuzzy control algorithm to realize the intelligent control of group control elevator. In this paper, the intelligent control of three six-story parallel elevators is designed with PLC, and so is the design idea of multi-layer and multi-parallel elevators (that is, group control elevators). In the part of software design, the overall design flow of elevator group control system is given. Then the basic function programs such as initialization, centralized selection control, high and low speed operation, opening and closing, opening and closing protection, flat floor of car and display of digital tube are designed. Some improved and innovative functions of elevator are programmed and designed, such as three-stage brake, upper and lower limit terminal protection, error instruction elimination, fault layer protection, on-load dormancy and fault interruption. Finally, the whole elevator group control system is simulated, and the experimental data show that the fuzzy control algorithm of multi-objective and multi-rule in this paper is more superior and more perfect than the traditional control algorithm.
【學(xué)位授予單位】：曲阜師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TU976.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張健;王笑竹;;改進(jìn)GA優(yōu)化BP神經(jīng)網(wǎng)絡(luò)的電梯群控策略[J];陜西理工學(xué)院學(xué)報(自然科學(xué)版);2015年04期

2 孟佶賢;徐鳳;呂新忠;;高層電梯系統(tǒng)運行方案的建模與求解[J];運籌與管理;2014年05期

3 王鹿軍;呂征宇;;基于LSSVM的電梯交通模式的模糊識別[J];浙江大學(xué)學(xué)報(工學(xué)版);2012年07期

4 王遵彤;孫棟;喬非;吳啟迪;;分布式電梯群控系統(tǒng)多目標(biāo)調(diào)度算法[J];控制理論與應(yīng)用;2010年05期

5 曾國偉;趙國軍;邢海瀟;陸鑫森;;基于模糊控制技術(shù)的電梯群控系統(tǒng)設(shè)計[J];浙江工業(yè)大學(xué)學(xué)報;2009年01期

6 許玉格;羅飛;曹建忠;;目的層預(yù)約的模糊神經(jīng)網(wǎng)絡(luò)電梯群控策略[J];華南理工大學(xué)學(xué)報(自然科學(xué)版);2007年01期

7 畢曉亮,李偉,朱昌明,葉慶泰;電梯群控系統(tǒng)多目標(biāo)控制策略[J];上海交通大學(xué)學(xué)報;2004年08期

8 宗群,童玲,薛麗華;電梯群控系統(tǒng)智能優(yōu)化調(diào)度方法的研究[J];控制與決策;2004年08期

9 閆冬梅,顧德英;電梯群控預(yù)約控制算法[J];現(xiàn)代電子技術(shù);2004年12期

10 宗群,尚曉光,嚴(yán)明,曹燕飛,岳有軍,雷小鋒;基于模糊神經(jīng)網(wǎng)絡(luò)的電梯系統(tǒng)交通模式識別[J];系統(tǒng)工程學(xué)報;2001年06期

相關(guān)博士學(xué)位論文 前1條

1 唐海燕;電梯交通分析及電梯優(yōu)化控制方法研究[D];哈爾濱工業(yè)大學(xué);2010年

相關(guān)碩士學(xué)位論文 前6條

1 蘭琪;電梯群控的優(yōu)化調(diào)度研究[D];太原理工大學(xué);2016年

2 張進(jìn);基于粒子群算法的雙子電梯群控制系統(tǒng)研究[D];哈爾濱工業(yè)大學(xué);2014年

3 張煒煒;基于PLC技術(shù)的群控電梯主從站設(shè)計[D];南京理工大學(xué);2012年

4 鄭亮;電梯群智能控制方法研究[D];東北大學(xué);2010年

5 陳美謙;基于PLC/MCGS的電梯系統(tǒng)研究[D];廈門大學(xué);2007年

6 王松青;基于模糊控制技術(shù)的電梯群控最優(yōu)調(diào)度策略研究[D];重慶大學(xué);2005年

，

本文編號：1831835