發(fā)布時(shí)間：2018-06-03 06:44

  本文選題：異步電機(jī)矢量控制 + 轉(zhuǎn)速辨識(shí)　； 參考：《哈爾濱工業(yè)大學(xué)》2015年碩士論文

【摘要】：異步電機(jī)作為一種結(jié)構(gòu)簡(jiǎn)單,制造工藝難度較低,節(jié)省成本及運(yùn)行更加安全可靠的動(dòng)力機(jī)械,在各個(gè)行業(yè)都有著廣泛的應(yīng)用。然而,隨著研究的不斷深入和實(shí)際情況的需要,基于矢量控制原理,對(duì)于異步電機(jī)構(gòu)成的交流傳動(dòng)系統(tǒng)或交流伺服控制系統(tǒng)要求越來越高。利用轉(zhuǎn)速辨識(shí)結(jié)構(gòu)來替代位置傳感器,既能提升系統(tǒng)可靠性,也能降低硬件成本。然而,取代位置傳感器的前提是需要準(zhǔn)確的轉(zhuǎn)速辨識(shí),本文圍繞電機(jī)的轉(zhuǎn)速辨識(shí)進(jìn)行以下幾個(gè)方面的研究:從電機(jī)的數(shù)學(xué)模型出發(fā),根據(jù)矢量控制原理,用Simulink搭建了基于轉(zhuǎn)子磁場(chǎng)定向的異步電機(jī)矢量控制系統(tǒng)仿真平臺(tái),并在此平臺(tái)上進(jìn)行了仿真。闡述了參數(shù)辨識(shí)的方法,研究模型參考自適應(yīng)(MRAS)算法,推導(dǎo)出基于波波夫超穩(wěn)定性理論的轉(zhuǎn)速辨識(shí)自適應(yīng)律。在MRAS算法的基礎(chǔ)上,提出了一種基于消積分飽和的改進(jìn)型算法,有效地消除了電壓純積分環(huán)節(jié)引起的直流偏差、積分飽和等影響。并對(duì)改進(jìn)算法構(gòu)成的整個(gè)無位置傳感器控制系統(tǒng)進(jìn)行了小信號(hào)分析與建模,依據(jù)根軌跡判定出系統(tǒng)的穩(wěn)定性,仿真結(jié)果表明基于改進(jìn)MRAS法構(gòu)成的閉環(huán)控制系統(tǒng)在給定的轉(zhuǎn)速以及全負(fù)載范圍內(nèi)是穩(wěn)定的。此外針對(duì)改進(jìn)MRAS速度辨識(shí)系統(tǒng)進(jìn)行了參數(shù)敏感性分析,仿真表明電機(jī)參數(shù)變化會(huì)對(duì)辨識(shí)收斂速度產(chǎn)生影響。對(duì)MRAS及其改進(jìn)型算法進(jìn)行了轉(zhuǎn)速、負(fù)載和轉(zhuǎn)矩突變等試驗(yàn)的對(duì)比仿真和分析,仿真結(jié)果表明改進(jìn)型算法的辨識(shí)準(zhǔn)確度更高和超調(diào)量更小。搭建出整個(gè)實(shí)驗(yàn)平臺(tái),設(shè)計(jì)并焊接電壓電流采樣電路。在以XMC4500處理器為核心,以DAVE 3為軟件開發(fā)平臺(tái),設(shè)計(jì)并實(shí)現(xiàn)整個(gè)算法程序,最終在搭建的實(shí)驗(yàn)平臺(tái)上驗(yàn)證了MRAS及其改進(jìn)型算法,實(shí)驗(yàn)結(jié)果表明改進(jìn)型算法的轉(zhuǎn)速辨識(shí)具有超調(diào)更小,響應(yīng)時(shí)間更快以及準(zhǔn)確度更高等特點(diǎn)。
[Abstract]:As a kind of power machinery with simple structure, low difficulty in manufacturing process, cost saving and more safe and reliable operation, asynchronous motor has been widely used in various industries. However, with the deepening of the research and the need of the actual situation, based on the principle of vector control, the requirements of AC drive system or AC servo control system composed of asynchronous motor are becoming more and more high. The speed identification structure is used to replace the position sensor, which can not only improve the system reliability, but also reduce the hardware cost. However, the premise of replacing the position sensor is that accurate speed identification is required. This paper focuses on the speed identification of the motor in the following aspects: from the mathematical model of the motor, according to the principle of vector control, The simulation platform of induction motor vector control system based on rotor flux orientation is built with Simulink, and the simulation is carried out on this platform. This paper describes the method of parameter identification, studies the model reference adaptive algorithm, and deduces the speed identification adaptive law based on Popov's hyperstability theory. On the basis of MRAS algorithm, an improved algorithm based on elimination of integral saturation is proposed, which effectively eliminates the effects of DC deviation and integral saturation caused by voltage pure integral. The whole position sensorless control system composed by the improved algorithm is analyzed and modeled with small signal, and the stability of the system is determined according to the root locus. The simulation results show that the closed-loop control system based on the improved MRAS method is stable in the given speed and full load range. In addition, the parameter sensitivity analysis of the improved MRAS speed identification system is carried out. The simulation results show that the change of motor parameters will affect the speed of identification convergence. The MRAS and its improved algorithm are simulated and analyzed in the experiments of rotational speed, load and torque mutation. The simulation results show that the improved algorithm has higher identification accuracy and less overshoot. Build the whole experimental platform, design and welding voltage and current sampling circuit. With XMC4500 processor as the core and DAVE 3 as the software development platform, the whole algorithm program is designed and implemented. Finally, the MRAS and its improved algorithm are verified on the experimental platform. The experimental results show that the speed identification of the improved algorithm has the advantages of smaller overshoot, faster response time and higher accuracy.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM343

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