【摘要】：國(guó)家對(duì)于海上補(bǔ)給所需要的裝備技術(shù)進(jìn)行大力研發(fā)支持,使其迅速成為我國(guó)軍事力量的一種凸顯。本文研究的重點(diǎn)是在基于神經(jīng)網(wǎng)絡(luò)算法下應(yīng)用了主動(dòng)式波浪補(bǔ)償技術(shù)的吊機(jī)系統(tǒng)。其中主動(dòng)式波浪補(bǔ)償技術(shù)是未來(lái)海洋補(bǔ)給裝備中的一種新型高新技術(shù),能夠主動(dòng)并且及時(shí)地補(bǔ)償船舶因?yàn)楹Ｑ筮\(yùn)動(dòng)等因素而引起的一系列相對(duì)運(yùn)動(dòng),確保在復(fù)雜的海洋環(huán)境下,船只能安穩(wěn)順利的全天候作業(yè)。主動(dòng)式波浪補(bǔ)償?shù)鯔C(jī)系統(tǒng)的研發(fā)有著重大的戰(zhàn)略意義和經(jīng)濟(jì)效益。本課題首先就波浪補(bǔ)償技術(shù)的發(fā)展歷程進(jìn)行了簡(jiǎn)單的介紹,通過(guò)其發(fā)展歷程將波浪補(bǔ)償技術(shù)的進(jìn)行分類,并對(duì)波浪補(bǔ)償技術(shù)進(jìn)行原理分析,從而發(fā)現(xiàn)無(wú)論是沿海國(guó)家還是內(nèi)陸國(guó)家都對(duì)波浪補(bǔ)償技術(shù)研究并不透徹,沒有特別成熟的工業(yè)產(chǎn)品出現(xiàn)在市場(chǎng)上,本篇論文主要選擇了波浪補(bǔ)償技術(shù)中的主動(dòng)式波浪補(bǔ)償來(lái)進(jìn)行深入探討與研究。在研究了主動(dòng)式波浪補(bǔ)償原理的基礎(chǔ)上,將主動(dòng)式波浪補(bǔ)償技術(shù)與被動(dòng)式波浪補(bǔ)償技術(shù)進(jìn)行對(duì)比,并分析其優(yōu)缺點(diǎn)。從而得知,船舶姿態(tài)預(yù)報(bào)在主動(dòng)式波浪補(bǔ)償中的重要性,并應(yīng)用數(shù)學(xué)中的時(shí)間序列的方法,及時(shí)地對(duì)船舶的運(yùn)行姿態(tài)進(jìn)行預(yù)報(bào)。最后設(shè)計(jì)出具有主動(dòng)式波浪補(bǔ)償技術(shù)的吊機(jī)液壓系統(tǒng),并簡(jiǎn)述系統(tǒng)運(yùn)作時(shí)的液壓工作原理。在建立具有主動(dòng)式波浪補(bǔ)償技術(shù)的吊機(jī)系統(tǒng)的數(shù)學(xué)模型基礎(chǔ)上,對(duì)主動(dòng)式波浪補(bǔ)償?shù)目刂葡到y(tǒng)進(jìn)行深入的研究�？刂撇呗缘倪x擇與整個(gè)系統(tǒng)的響應(yīng)性穩(wěn)定性有著直接的影響,本課題通過(guò)與傳統(tǒng)控制理論對(duì)比分析下,選擇了偽微分控制策略,并將其與神經(jīng)網(wǎng)絡(luò)進(jìn)行結(jié)合,將基于神經(jīng)網(wǎng)絡(luò)下的偽微分控制算法應(yīng)用到主動(dòng)式波浪補(bǔ)償?shù)鯔C(jī)控制系統(tǒng)中來(lái)。通過(guò)Matlab軟件進(jìn)行仿真,顯示出整個(gè)系統(tǒng)優(yōu)越的性能,滿足整個(gè)系統(tǒng)的控制要求。最后進(jìn)行實(shí)驗(yàn)平臺(tái)的搭建,利用Labview軟件對(duì)整個(gè)系統(tǒng)進(jìn)行實(shí)時(shí)監(jiān)控,分析實(shí)驗(yàn)結(jié)果并進(jìn)行實(shí)驗(yàn)驗(yàn)證。理論與實(shí)驗(yàn)的結(jié)合,充分表明了神經(jīng)網(wǎng)絡(luò)PDF控制策略結(jié)合了神經(jīng)網(wǎng)絡(luò)與PDF控制算法的優(yōu)點(diǎn),具有自適應(yīng)性強(qiáng)、快速響應(yīng)性好、抗干擾性強(qiáng)和穩(wěn)定性良好等一系列特點(diǎn),是一種十分優(yōu)良的控制技術(shù),滿足本論文中的具有主動(dòng)式波浪補(bǔ)償技術(shù)的吊機(jī)系統(tǒng)對(duì)控制算法的要求,當(dāng)然這種神經(jīng)網(wǎng)絡(luò)PDF控制算法在其他控制領(lǐng)域也具有廣闊的應(yīng)用前景。
[Abstract]:The state makes great efforts to develop and support the equipment and technology needed for sea supply, which makes it a kind of highlight of our military power. The emphasis of this paper is to apply active wave compensation technology to crane system based on neural network algorithm. The active wave compensation technology is a new high and new technology in the future ocean resupply equipment. It can actively and timely compensate a series of relative motions caused by the marine movement and other factors, so as to ensure that in the complex marine environment, The ship can only operate smoothly and smoothly all the time. The research and development of active wave compensation crane system is of great strategic significance and economic benefit. This paper introduces the development course of wave compensation technology, classifies wave compensation technology through its development process, and analyzes the principle of wave compensation technology. As a result, it is found that neither coastal nor landlocked countries have thoroughly studied wave compensation techniques, and that there are no particularly mature industrial products on the market, In this paper, we choose the active wave compensation in wave compensation technology to carry on the thorough discussion and the research. Based on the study of the principle of active wave compensation, this paper compares the active wave compensation technology with the passive wave compensation technology, and analyzes its advantages and disadvantages. Thus, the importance of ship attitude prediction in active wave compensation is obtained, and the method of time series in mathematics is applied to predict the ship's running attitude in time. Finally, the hydraulic system of crane with active wave compensation technology is designed, and the working principle of hydraulic system is described. On the basis of establishing the mathematical model of crane system with active wave compensation technology, the control system of active wave compensation is studied deeply. The choice of control strategy has direct influence on the response stability of the whole system. By comparing with the traditional control theory, the pseudo-differential control strategy is selected and combined with the neural network. The pseudo-differential control algorithm based on neural network is applied to the active wave compensation crane control system. The simulation by Matlab software shows that the whole system has superior performance and meets the control requirements of the whole system. Finally, the experiment platform is built, the whole system is monitored by Labview software, and the experimental results are analyzed and verified. The combination of theory and experiment shows that the neural network PDF control strategy combines the advantages of neural network and PDF control algorithm, and has a series of characteristics, such as strong adaptability, fast response, strong anti-interference and good stability. It is a very good control technology, which meets the requirements of the control algorithm for the crane system with active wave compensation technology in this paper. Of course, this neural network PDF control algorithm also has a broad application prospect in other control fields.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP183;U664.43

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王海波;王慶豐;;水下拖曳升沉補(bǔ)償系統(tǒng)設(shè)計(jì)及其內(nèi)模魯棒控制[J];機(jī)械工程學(xué)報(bào);2010年08期

2 葉瑋瓊;余永權(quán);;液壓伺服系統(tǒng)中模糊-滑�？刂破鞯脑O(shè)計(jì)及應(yīng)用[J];廣東工業(yè)大學(xué)學(xué)報(bào);2008年02期

3 朱鵬程;鄢華林;;采用負(fù)載敏感控制技術(shù)的絞車液壓系統(tǒng)設(shè)計(jì)[J];江蘇科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2008年03期

4 萬(wàn)理想;丁保華;周洲;徐軍;;基于AMESim和Simulink的液壓伺服系統(tǒng)動(dòng)態(tài)仿真[J];煤礦機(jī)械;2007年09期

5 徐小軍;陳循;尚建忠;;一種新型主動(dòng)式波浪補(bǔ)償系統(tǒng)的原理及數(shù)學(xué)建模[J];國(guó)防科技大學(xué)學(xué)報(bào);2007年03期

6 孫秀桂;陸綺榮;趙政春;;大時(shí)滯控制系統(tǒng)的控制策略分析[J];安陽(yáng)工學(xué)院學(xué)報(bào);2006年03期

7 孔曉武;多路換向閥的基本特性與新發(fā)展(一)[J];礦山機(jī)械;2005年08期

8 嵇春艷,李華軍;隨機(jī)波浪作用下海洋平臺(tái)主動(dòng)控制的時(shí)滯補(bǔ)償研究[J];海洋工程;2004年04期

9 胡金濱,唐旭清;人工神經(jīng)網(wǎng)絡(luò)的BP算法及其應(yīng)用[J];信息技術(shù);2004年04期

10 朱大奇;人工神經(jīng)網(wǎng)絡(luò)研究現(xiàn)狀及其展望[J];江南大學(xué)學(xué)報(bào);2004年01期

相關(guān)碩士學(xué)位論文 前4條

1 祁圣民;非接觸式登船梯控制系統(tǒng)設(shè)計(jì)[D];江蘇科技大學(xué);2015年

2 趙瑞;主動(dòng)式波浪補(bǔ)償?shù)鯔C(jī)控制系統(tǒng)研究[D];江蘇科技大學(xué);2013年

3 王輝;變節(jié)距排纜減張力液壓絞車的系統(tǒng)研究[D];江蘇科技大學(xué);2010年

4 何平;主動(dòng)式波浪補(bǔ)償控制系統(tǒng)研究[D];國(guó)防科學(xué)技術(shù)大學(xué);2007年

，

本文編號(hào)：2246495