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變頻空調(diào)壓縮機(jī)驅(qū)動(dòng)系統(tǒng)低頻轉(zhuǎn)矩補(bǔ)償控制算法研究

發(fā)布時(shí)間:2018-04-30 19:12

  本文選題:永磁同步電機(jī) + 變頻空調(diào) ; 參考:《中南大學(xué)》2014年碩士論文


【摘要】:摘要:隨著稀土材料、電力電子技術(shù)以及現(xiàn)代交流伺服電機(jī)驅(qū)動(dòng)控制技術(shù)的發(fā)展,永磁同步電機(jī)(PMSM)在國(guó)民經(jīng)濟(jì)中的各個(gè)領(lǐng)域應(yīng)用越來越廣泛。永磁同步電機(jī)作為家用變頻空調(diào)壓縮機(jī)是節(jié)能驅(qū)動(dòng)技術(shù)發(fā)展的核心,已成為當(dāng)前研究的熱點(diǎn)課題,但變頻空調(diào)壓縮機(jī)驅(qū)動(dòng)系統(tǒng)低頻負(fù)載轉(zhuǎn)矩脈動(dòng)的問題尚未得到很好的解決。本論文將針對(duì)壓縮機(jī)低頻運(yùn)行時(shí)負(fù)載轉(zhuǎn)矩脈動(dòng)的問題展開研究,主要研究?jī)?nèi)容如下: (1)針對(duì)變頻空調(diào)壓縮機(jī)低頻運(yùn)行時(shí)負(fù)載轉(zhuǎn)矩波動(dòng)劇烈的問題,在深入分析壓縮機(jī)低速運(yùn)行時(shí)負(fù)載轉(zhuǎn)矩特性的基礎(chǔ)上,提出了一種基于控制參數(shù)化的低頻轉(zhuǎn)矩補(bǔ)償控制算法。該方法將給定的時(shí)間區(qū)間劃分成若干個(gè)等間隔的子區(qū)間,在每個(gè)子區(qū)間內(nèi)周期非線性負(fù)載用一個(gè)常值負(fù)載進(jìn)行等效,通過優(yōu)化計(jì)算性能指標(biāo)函數(shù)來獲得各子區(qū)間內(nèi)控制輸入值?刂茀(shù)化方法能夠很好的適應(yīng)電機(jī)低頻時(shí)的機(jī)械特性,而且可以很大程度上提升低頻段的控制精度。 (2)針對(duì)變頻空調(diào)壓縮機(jī)低速運(yùn)行時(shí)負(fù)載轉(zhuǎn)矩脈動(dòng)的問題,提出了一種基于模型預(yù)測(cè)控制的低頻轉(zhuǎn)矩補(bǔ)償控制方法。首先,對(duì)兩相旋轉(zhuǎn)坐標(biāo)系下永磁同步電機(jī)數(shù)學(xué)模型中的非線性項(xiàng)進(jìn)行了簡(jiǎn)化,針對(duì)模型中存在負(fù)載擾動(dòng)的問題,引入交軸電壓補(bǔ)償控制,從而獲得線性化的電機(jī)模型。其次,采用電機(jī)轉(zhuǎn)速和電流的實(shí)時(shí)測(cè)量值對(duì)電機(jī)負(fù)載轉(zhuǎn)矩進(jìn)行實(shí)時(shí)估計(jì),利用線性化的模型預(yù)測(cè)系統(tǒng)未來動(dòng)態(tài)。通過優(yōu)化未來的控制動(dòng)作使得預(yù)測(cè)的系統(tǒng)輸出接近控制參數(shù)化方法優(yōu)化求解的理想控制曲線。最后,將每個(gè)采樣時(shí)刻求解的優(yōu)化控制量的第一步作用于實(shí)際系統(tǒng)。通過仿真和實(shí)驗(yàn)結(jié)果分析說明了所提控制策略的正確性和可行性。圖36幅,表2個(gè),參考文獻(xiàn)62篇。
[Abstract]:Absrtact: with the development of rare earth materials, power electronics technology and modern AC servo motor drive control technology, PMSM (permanent Magnet synchronous Motor) is more and more widely used in various fields of national economy. Permanent magnet synchronous motor (PMSM), as the core of energy saving drive technology, has become a hot topic in the field of energy saving, but the problem of low frequency load torque ripple in the drive system of variable-frequency air conditioner compressor has not been solved well. This paper will focus on the load torque ripple of the compressor in low frequency operation. The main research contents are as follows: 1) aiming at the problem that the load torque fluctuates sharply during the low frequency operation of the variable frequency air conditioner compressor, a low frequency torque compensation control algorithm based on the control parameters is proposed based on the in-depth analysis of the load torque characteristics of the compressor in the low speed operation. In this method, a given time interval is divided into several equal intervals, and the periodic nonlinear load is equivalent to a constant load in each subinterval, and the control input value is obtained by optimizing the performance index function. The control parameterization method can well adapt to the mechanical characteristics of the motor at low frequency, and can greatly improve the control accuracy of the low frequency band. In order to solve the problem of load torque ripple in low speed operation of variable frequency air conditioner compressor, a low frequency torque compensation control method based on model predictive control is proposed. Firstly, the nonlinear terms in the mathematical model of permanent magnet synchronous motor (PMSM) in two-phase rotating coordinate system are simplified. In order to solve the problem of load disturbance in the model, the AC axis voltage compensation control is introduced to obtain the linearized motor model. Secondly, the real time measurement of motor speed and current is used to estimate the motor load torque in real time, and the linearized model is used to predict the future of the system. By optimizing the future control action, the predicted system output is close to the ideal control curve solved optimally by the parameterized control method. Finally, the first step of the optimal control is applied to the real system. Simulation and experimental results show the correctness and feasibility of the proposed control strategy. There are 36 figures, 2 tables and 62 references.
【學(xué)位授予單位】:中南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TB652;TM341

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