摘要
永磁无刷直流电机具有高功率密度、高转矩/电流比和控制简单等优势,在工业上得到了广泛应用。然而,无刷直流电机传统用的反电动势检测方法估计电机位置,其硬件电路比较复杂,实时性比较差,限制了无刷直流电机的应用。本文提出了一种基于扩展卡尔曼滤波方法的无刷直流电机反电动势检测改良方法,通过在无刷直流电机数学模型基础上的推导,将定子电流和反电动势电压作为状态变量,建立了扩展卡尔曼滤波器的模型。该方法不需要任何额外检测电路,具有实现稳态和瞬态准确换向,能对电机转速进行精确控制。实验结果表明该方法有效、可行。
Permanent magnet brushless DC motor（BLDC） has been widely applied in industry because it has high power density, high torque/current ratio and simple control advantages. However, back-EMF method of BLDC of traditional estimation for the motor position, its hardware circuit is relatively complex, real-time performance is poor, which limits the application of BLDC. This paper presents a new method of BLDC back-EMF detection method based on the extended Kalman filter, through the derivation in the BLDC based on the mathematical model, the stator current and back-EMF voltage as the state variable, establish the extended Kalman filter model. This algorithm does not need any additional detection circuit, it can realize steady state and transient accurate commutation and the precise control of motor speed. The experiment results show that the proposed algorithm is effective and feasible.
出处
《电工技术学报》
EI
CSCD
北大核心
2013年第6期52-58,共7页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51277048)
浙江省自然科学基金重点(LZ13E070002)资助项目
关键词
直流无刷电机
扩展卡尔曼滤波
反电动势估计
过零检测
Brushless DC motor（BLDC）
extended Kalman filter
back-EMF estimation
zero-crossing detection
