考慮總漏感隨頻率變化的異步電機參數離線辨識算法

夏超英 谷海青 寇麗萍

摘要：針對電機轉子的鼠籠結構會導致總漏感隨電流頻率的不同而發生變化給激磁電感和轉子電阻的測量帶來偏差的問題，提出了一種離線辨識電機參數的算法。采用直流實驗結合最小二乘法辨識定子電阻，采用低頻交流實驗辨識激磁電感和轉子電阻，且激磁電感和轉子電阻的辨識無需電機總漏感參數，從而消除了轉子漏感參數變化給辨識帶來的影響。另外，辨識算法辨識逆變器的非線性壓降模型并對逆變器壓降進行補償以提高算法精度，激磁電感的辨識在不同激磁水平下進行以得到電機的激磁曲線。在TMS320F28035實驗平臺上實現辨識算法，驗證了算法的辨識精度。

關鍵詞：異步電機；鼠籠結構；逆變器非線性壓降模型；激磁曲線

中圖分類號：TM 343 文獻標志碼：A

Abstract：In order to analyze the leakage inductance varying with current frequency because of the deep bar effect in squirrel-caged rotor that leads to the measured deviation of magnetizing inductance and rotor resistance， an offline parameter estimation algorithm for induction motors is proposed. Stator resistance is measured through DC test with the least square method while magnetizing inductance and rotor resistance are measured through low-frequency AC test. The proposed method eliminates the influences result from leakage inductance variation by identifying the magnetizing inductance and rotor resistance without the requirement of leakage inductance. Furthermore， the proposed algorithm identifies the nonlinear voltage drop on inverter and compensates for the voltage drop on inverter automatically to ensure the estimation precision. The magnetizing curve of induction motor is also obtained by estimating the magnetizing inductance under different levels of magnetizing. The effectiveness of the proposed estimation algorithm is validated on the platform of TMS320F28035.

Keywords：induction motor ； squirrel cage； nonlinear voltage drop on inverter； magnetizing curve