發(fā)布時(shí)間：2017-12-27 00:00

  本文關(guān)鍵詞：基于PLC電梯群控系統(tǒng)的設(shè)計(jì)與研究　出處：《太原理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： PLC 監(jiān)控系統(tǒng) 模糊邏輯 BP網(wǎng)絡(luò) 電梯群控

【摘要】：隨著科學(xué)技術(shù)的進(jìn)步和城市化的推進(jìn),高層與智能建筑作為現(xiàn)代城市的標(biāo)志不斷涌現(xiàn)。作為垂直運(yùn)輸工具,電梯主要用來完成人或物的輸送,這在建筑物內(nèi)的作用不言而喻。因此對(duì)于電梯控制的研究非常有意義。伴隨著生活質(zhì)量提高,人們對(duì)電梯性能的要求也變得越高,比如操作簡潔、乘梯舒適、節(jié)約能源等。電梯控制系統(tǒng)也隨之經(jīng)歷了快速發(fā)展,從原來的單部電梯控制、相對(duì)復(fù)雜的并聯(lián)運(yùn)行控制,再到多部電梯智能化聯(lián)合控制。電梯控制技術(shù)的發(fā)展有效的提高了電梯運(yùn)行系統(tǒng)的穩(wěn)定性,極大的改善了用戶乘梯體驗(yàn)。本文首先介紹了電梯控制技術(shù)的發(fā)展歷程及研究現(xiàn)狀,分析了電梯控制系統(tǒng)的基本原理和結(jié)構(gòu),運(yùn)用S7-1200 PLC和TIA Portal全自動(dòng)集成開發(fā)環(huán)境搭建了電梯控制系統(tǒng)的運(yùn)行環(huán)境。通過PLC對(duì)電梯控制程序進(jìn)行模塊化編程,并對(duì)重要模塊詳細(xì)分析,從而實(shí)現(xiàn)單部電梯的程序設(shè)計(jì)。其次研究了兩部電梯并聯(lián)控制算法,根據(jù)最快響應(yīng)原則,將其程序?qū)崿F(xiàn)。其間通過TIA Portal WINCC監(jiān)控電梯運(yùn)行狀態(tài):包括轎廂位置、內(nèi)外呼登記、故障報(bào)警、優(yōu)先調(diào)度等。并通過實(shí)時(shí)觀測,根據(jù)電梯運(yùn)行狀態(tài)信號(hào)模擬調(diào)試,使電梯控制系統(tǒng)安全、高效的運(yùn)行。然后,在單部電梯控制和兩部電梯并聯(lián)調(diào)度設(shè)計(jì)基礎(chǔ)上,著重對(duì)群控系統(tǒng)展開研究。簡要介紹了電梯運(yùn)行中的不同交通模式以及群控系統(tǒng)的常用控制方式。基于群控系統(tǒng)的不確定性、非線性、擾動(dòng)性以及多目標(biāo)性等復(fù)雜特性,對(duì)控制系統(tǒng)做了多目標(biāo)規(guī)劃處理。由于電梯群控系統(tǒng)難于建模,運(yùn)用模糊邏輯思想構(gòu)造了影響控制目標(biāo)主要因素的隸屬函數(shù),并在詳細(xì)分析BP神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu)及算法原理的基礎(chǔ)上,建立了一個(gè)以隸屬度為輸入、綜合評(píng)價(jià)指標(biāo)為輸出的BP網(wǎng)絡(luò)模型。通過MATLAB對(duì)神經(jīng)網(wǎng)絡(luò)進(jìn)行了學(xué)習(xí)訓(xùn)練,并經(jīng)過測試最終得到優(yōu)化的各項(xiàng)權(quán)系數(shù)。最后,在PLC構(gòu)建的實(shí)踐仿真平臺(tái)給予程序?qū)崿F(xiàn),結(jié)合監(jiān)控畫面,對(duì)群控調(diào)度算法進(jìn)行仿真測試。通過分析運(yùn)行數(shù)據(jù),驗(yàn)證了群控調(diào)度算法的有效性和在實(shí)際PLC中應(yīng)用的可行性。
[Abstract]:With the advancement of science and technology and the advancement of urbanization, high level and intelligent buildings are emerging as the symbols of modern cities. As a vertical transport tool, the elevator is mainly used to carry out the transportation of people or things, which is self-evident in the function of the building. Therefore, the research on elevator control is of great significance. With the improvement of the quality of life, the higher the requirements for the elevator performance, such as simple operation, ride comfort, energy saving and so on. The elevator control system has also experienced rapid development, from the original single elevator control, relatively complex parallel operation control, and multiple elevator intelligent joint control. The development of elevator control technology effectively improves the stability of the elevator operation system, and greatly improves the user's ladder experience. This paper first introduces the development process and research status of elevator control technology, analyzes the basic principle and structure of elevator control system, and builds operation environment of elevator control system by using S7-1200 PLC and TIA Portal automatic integrated development environment. The elevator control program is programmed by PLC, and the important module is analyzed in detail so as to realize the program design of the single elevator. Secondly, two parallel elevator control algorithms are studied, and the program is implemented according to the fastest response principle. In the meantime, the TIA Portal WINCC is used to monitor the operation of the elevator, including the car position, the inside and outside call registration, the fault alarm and the priority scheduling, etc. And through real-time observation, according to the elevator running state signal simulation and debugging, make the elevator control system safe and efficient operation. Then, on the basis of single elevator control and two elevator parallel dispatching design, the research of group control system is emphasized. This paper briefly introduces the different traffic modes in the elevator operation and the common control methods of the group control system. Based on the complex characteristics of uncertainty, nonlinearity, disturbance and multi-objective of the group control system, multi-objective programming is done to the control system. The elevator group control system is difficult to model, using the membership function of fuzzy logic to construct the main factors affecting the control objectives, and based on the detailed analysis of the BP neural network structure and algorithm principle, the establishment of a membership for the comprehensive evaluation index for the input and output of the model of BP network. The learning and training of the neural network is carried out through MATLAB, and the optimized coefficients are finally obtained through the test. Finally, the practical simulation platform constructed by PLC is implemented, and the group control scheduling algorithm is simulated and tested in combination with the monitoring screen. Through the analysis of the running data, the effectiveness of the group control scheduling algorithm and the feasibility of application in the actual PLC are verified.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP273;TU976.3

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