本文關(guān)鍵詞：大型風(fēng)力發(fā)電機(jī)獨(dú)立變槳距控制系統(tǒng)研究　出處：《中國(guó)礦業(yè)大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 風(fēng)力發(fā)電 獨(dú)立變槳距控制 動(dòng)態(tài)加權(quán) 模糊PID 神經(jīng)模糊PID控制

【摘要】：如今，全球都面臨能源短缺和生態(tài)環(huán)境惡化的雙重壓力。為了緩解這一壓力，許多國(guó)家在政策、資金和技術(shù)等方面都加大了對(duì)新能源產(chǎn)業(yè)的引導(dǎo)與支持。風(fēng)力發(fā)電在當(dāng)今的新能源產(chǎn)業(yè)中占有舉足輕重的地位，近年來(lái)一直倍受青睞，發(fā)展也很迅速，但仍然面臨成本較高和事故頻發(fā)等諸多問(wèn)題，所以加大技術(shù)上的研究和突破是十分有必要的。 變速變槳距風(fēng)電系統(tǒng)因具有風(fēng)能轉(zhuǎn)換效率高、運(yùn)行相對(duì)安全和控制策略易于實(shí)現(xiàn)等顯著優(yōu)點(diǎn)，已成為當(dāng)前風(fēng)電市場(chǎng)中的主流機(jī)型。論文針對(duì)大型風(fēng)電系統(tǒng)的獨(dú)立變槳距控制系統(tǒng)進(jìn)行了一定的研究。 首先，，對(duì)涉及風(fēng)電機(jī)組的空氣動(dòng)力學(xué)理論進(jìn)行闡述，從而進(jìn)行變槳距控制過(guò)程研究，建立機(jī)組各部分子系統(tǒng)數(shù)學(xué)模型并組建simulink仿真圖。 其次，由于變槳距風(fēng)電機(jī)組具有很強(qiáng)的非線性，采用傳統(tǒng)的PID控制效果不是十分理想，所以提出風(fēng)力發(fā)電系統(tǒng)模糊PID功率控制方案，以提高功率控制的精度；考慮槳葉所受軸向氣動(dòng)力，提出一種基于目標(biāo)的動(dòng)態(tài)加權(quán)模糊控制方法，提高了葉片受力控制器配合功率控制器組成的變槳距控制系統(tǒng)的總體響應(yīng)速度和性能。 再次，模糊控制器中的模糊控制規(guī)則是根據(jù)經(jīng)驗(yàn)設(shè)置的，存在諸多不足，但模糊控制器的模糊規(guī)則一旦制定就不能改變，為解決這一問(wèn)題，控制器中加入可以自學(xué)習(xí)的神經(jīng)控制算法，進(jìn)行模糊規(guī)則的學(xué)習(xí)調(diào)整，將神經(jīng)網(wǎng)絡(luò)和模糊PID控制相結(jié)合設(shè)計(jì)了一種模糊神經(jīng)網(wǎng)絡(luò)PID控制器。另外，針對(duì)風(fēng)速測(cè)量誤差對(duì)槳葉受力的影響，設(shè)計(jì)前饋控制器，來(lái)減小槳葉所受軸向氣動(dòng)力。
[Abstract]:Today, the world is facing the double pressure of energy shortage and deterioration of the ecological environment. In order to alleviate the pressure, many countries in the policy, capital and technology and other areas have increased the guidance and support of the new energy industry, wind power generation occupies a pivotal position in the new energy industry, in recent years has been favored also, the development is very rapid, but still faces many problems such as high cost and frequent accidents, so more research and breakthroughs in technology is very necessary.
Variable speed variable pitch wind power system with wind energy conversion efficiency is high, the operation is relatively safe and easy to realize the advantages of the control strategy, has become the mainstream models in the current wind power market. The independent variable pitch wind power system for large distance control system are studied.
First, the aerodynamics theory of wind turbines is expounded, and then the pitch control process is studied. The mathematical model of each subsystem of the unit is established, and the Simulink simulation diagram is established.
Secondly, because of the variable pitch wind turbine with strong nonlinearity, the effect of traditional PID control is not very good, so the proposed fuzzy PID power control scheme of wind power generation system, to improve the accuracy of power control; blade axial aerodynamic considerations, this paper presents a fuzzy control method based on dynamic weighted target, improve the blade force controller with variable propeller power controller composed of pitch control system overall response speed and performance.
Again, the fuzzy control rules of fuzzy controller is set up based on our experience, there are many shortcomings, but the fuzzy rules of the fuzzy controller once made will not be changed, in order to solve this problem, neural control algorithm with self-learning controller, the fuzzy rules of learning adjustment, the neural network and the fuzzy PID control. Combined with the design of a fuzzy neural network PID controller. In addition, the effect of wind speed measurement error on force of blade, feedforward controller design, to reduce the blade axial aerodynamic force.

【學(xué)位授予單位】：中國(guó)礦業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TM315;TP273

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