一种无刷直流电机速度估计方法  

Self-tuning-based Speed Estimation of Brushless DC Motors

作　　者：刘洋 赵金[1,2] 

机构地区：[1]华中科技大学自动化学院,湖北武汉430074 [2]图像信息处理与智能控制教育部重点实验室,湖北武汉430074

出　　处：《电气传动》2015年第1期10-13,共4页Electric Drive

基　　金：中央高校基本科研业务费(HUST:2013QN151);高等学校博士学科点专项科研基金新教师类资助课题(20120142120090);国家自然科学基金(61304034)

摘　　要：提出了一种基于自校正的速度估计算法,以解决无刷直流电机在配备低精度霍耳效应传感器情况下的速度控制问题。无刷直流电机在使用低精度传感器时,通常通过反电动势估计电机的转速,以满足低速控制的要求,但由于定子电阻的分压,以及反电动势偏低时导致的估计困难,使得估计的速度精度偏低。并且,定子电阻会随着温度的变化而变化,这进一步增加了速度估计的难度。因此,提出一种基于自校正的速度估计算法,该算法在利用反电动势估计转速的同时,不受温度和参数变化的影响。最后,给出了仿真和物理试验结果。A control system with a novel speed estimation approach based on self-tuning was presented for low cost brushless DC motor （BLDC） drives with low-resolution hall sensors. The back electromotive force （EMF） is usually used to estimate speed. But the estimation result is not accurate enough at low speeds because of the divided voltage of stator resistors and too small back EMF. Moreover, the stator resistor is always varying with the motor＇ s temperature. A speed estimation algorithm based on self-tuning was proposed to correct the speed error estimated by using back EMF. The proposed algorithm＇s most innovative feature is its adaptability to low speeds. And temperature do not affect the accuracy of the estimation result. The effectiveness of the algorithm is verified through simulations and experiments.

关 键 词：速度估计 低精度霍耳传感器 无刷直流电机 

分 类 号：TM346[电气工程—电机]