本文選題：電動汽車　切入點：感應電機　出處：《河北工業(yè)大學》2014年博士論文　論文類型：學位論文

【摘要】：電動汽車的核心控制部分是電機及其電驅動控制系統(tǒng)，它的性能直接影響了電動汽車的各項運行指標。本文根據電動汽車電驅動控制系統(tǒng)的性能要求，研究了電動汽車感應電機的無速度傳感器矢量控制系統(tǒng)。 在感應電機無速度傳感器矢量控制系統(tǒng)中，匹配的電機參數是轉速和磁鏈精確估計的前提，估計精度直接影響了控制系統(tǒng)的性能。為了提高估計精度，增強控制系統(tǒng)對參數波動的魯棒性，本文研究了一種基于滑模觀測器的轉子速度和轉子時間常數在線辨識技術。首先通過分析感應電機在兩相靜止正交坐標系中的狀態(tài)方程，推導出含有相同耦合項的定子電流和轉子磁鏈狀態(tài)方程。然后利用滑模控制函數替代定子電流和轉子磁鏈方程中的相同耦合項，實現(xiàn)了在兩相靜止參考坐標系中的定子電流和轉子磁鏈方程解耦。最后利用滑動模態(tài)的穩(wěn)定條件推導了滑�？刂坪瘮档脑鲆�，利用低通濾波器和等價函數對轉子磁鏈、轉子速度和轉子時間常數進行了在線估計。 為了既能削弱滑�？刂聘哳l抖動又能加快滑模變量趨近滑模面的速度，本文研究了一種自適應滑�？刂圃鲆娴幕ｋ娏骺刂破��？刂破鞲鶕䲠_動信號自動調整滑�？刂坪瘮翟鲆�，不需要大量計算擾動信號的界限。當滑動變量遠離滑模面時能夠自動增加滑�？刂坪瘮翟鲆�，加快趨近滑模面的速度，改進其動態(tài)性能。當滑動變量靠近滑模面時，能夠自動減小滑�？刂坪瘮翟鲆�，削弱滑模面上的高頻抖動。利用李亞普諾夫穩(wěn)定定理，分析了自適應滑�？刂破鞯姆�(wěn)定性。 為了提高電動汽車的續(xù)航里程，改善矢量控制系統(tǒng)的輕載低效問題，研究了一種超螺旋滑模變結構感應電機效率優(yōu)化控制技術。在兩相靜止參考坐標系中建立了考慮鐵損的感應電機損耗模型，，利用函數求極值的方法求解了損耗最小的磁鏈。將轉子速度和磁鏈作為優(yōu)化目標，設計了超螺旋滑�？刂破�。利用李亞普諾夫穩(wěn)定定理，對滑�？刂破鬟M行了穩(wěn)定性分析，推導了滑�？刂破鞯脑鲆��；瑒幽B(tài)收斂到滑模面時，轉子實際速度跟蹤到設定速度，轉子磁鏈跟蹤到最優(yōu)磁鏈。 在TMS320LF2812數字處理芯片的全數字化實驗平臺上，對定子電流滑模觀測器和自適應增益的滑�？刂破鬟M行了實驗分析研究，實驗結果驗證了該算法的有效性。
[Abstract]:The core control part of electric vehicle is the motor and its electric drive control system. Its performance directly affects the running indexes of electric vehicle. According to the performance requirements of electric vehicle electric drive control system, The speed sensorless vector control system of induction motor of electric vehicle is studied. In the speed sensorless vector control system of induction motor, the matching parameters of the motor is the premise of accurate estimation of speed and flux chain. The estimation accuracy directly affects the performance of the control system. In this paper, an on-line identification technique for rotor speed and rotor time constant based on sliding mode observer is studied. Firstly, the state equation of induction motor in two-phase static orthogonal coordinate system is analyzed. The state equations of stator current and rotor flux with the same coupling term are derived, and then the sliding mode control function is used to replace the same coupling term in the stator current and rotor flux equation. The stator current and rotor flux equations are decoupled in two-phase static reference coordinate system. Finally, the gain of sliding mode control function is derived by using the stability condition of sliding mode, and the rotor flux is obtained by using low-pass filter and equivalent function. Rotor velocity and rotor time constant are estimated online. In order to reduce the high frequency jitter of sliding mode control and accelerate the speed of sliding mode variable approaching sliding mode surface, In this paper, a sliding mode current controller with adaptive sliding mode control gain is studied. The controller automatically adjusts the gain of sliding mode control function according to the disturbance signal. When the sliding variable is far from the sliding mode surface, the sliding mode control function gain can be increased automatically, the speed of approaching the sliding mode surface can be accelerated, and the dynamic performance of the sliding mode surface can be improved. When the sliding variable is near the sliding mode surface, The gain of sliding mode control function can be reduced automatically and the high frequency jitter on sliding mode surface can be weakened. The stability of adaptive sliding mode controller is analyzed by using Lyapunov stability theorem. In order to improve the mileage of electric vehicle and the low efficiency of vector control system, An optimal efficiency control technique for superspiral sliding mode variable structure induction motor is studied. A loss model of induction motor considering iron loss is established in a two-phase static reference coordinate system. The minimum loss flux is solved by the method of calculating the extremum of the function. The superspiral sliding mode controller is designed with rotor speed and flux chain as the optimization object. The stability of the sliding mode controller is analyzed by using Lyapunov stability theorem. The gain of the sliding mode controller is derived. When the sliding mode converges to the sliding mode surface, the actual speed of the rotor is tracked to the set speed, and the rotor flux is tracked to the optimal flux. The stator current sliding mode observer and the adaptive gain sliding mode controller are experimentally analyzed on the full digital experimental platform of TMS320LF2812 digital processing chip. The experimental results verify the effectiveness of the proposed algorithm.
【學位授予單位】：河北工業(yè)大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TM346;U469.72

【相似文獻】

相關期刊論文 前10條

1 李永東,李明才;感應電機高性能無速度傳感器控制系統(tǒng)——回顧、現(xiàn)狀與展望[J];電氣傳動;2004年01期

2 K.Matsuse,高首聰;單個逆變器驅動兩臺并聯(lián)感應電機的無速度傳感器矢量控制方法[J];變流技術與電力牽引;2005年04期

3 陳奇;;感應電機變頻運動控制策略和實現(xiàn)方式的比較[J];變頻器世界;2005年09期

4 郭立煒;王忠杰;安國慶;陳學廣;;基于串口技術的感應電機特性及參數測試系統(tǒng)[J];華中科技大學學報(自然科學版);2007年05期

5 王濤;肖建;嚴殊;;感應電機反饋線性化解耦控制[J];西南交通大學學報;2007年02期

6 裴文卉;武玉強;;感應電機系統(tǒng)的非線性反推自適應控制[J];電機與控制學報;2007年04期

7 劉軍鋒;李葉松;;感應電機寬范圍調速時電流分配策略研究[J];電力電子技術;2008年02期

8 沈艷霞;丁輝;紀志成;;感應電機模糊滑模控制器的新型設計方法[J];電機與控制學報;2008年03期

9 孫小均;;交-交變頻技術實現(xiàn)感應電機的重載起動[J];商情(教育經濟研究);2008年05期

10 關e

本文編號：1591885