Sensorless Predictive Algorithm for Permanent Magnet Brushless DC Drives  

作　　者：Gianluca Brando Andrea Del Pizzo Gianluca Gatto Ignazio Marongiu Alessandro Serpi 

机构地区：[1]Department of Electrical Engineering, University "Federico H" of Naples, Naples 80138, Italy [2]Department of Electrical and Electronic Engineering, University ofCagliari, Cagliari 09123, Italy

出　　处：《Journal of Energy and Power Engineering》2012年第7期1088-1096,共9页能源与动力工程（美国大卫英文）

摘　　要：A high resolution speed and position identification algorithm, suitable for brushless DC drives, is presented in this paper. In particular, the algorithm is proposed for BLDC （brushless DC） machines that are characterized by an un-ideal trapezoidal emfs shape. The algorithm, which is developed basing upon the MRAS technique （model reference adaptive system） and the Popov＇s hyperstability criterion, guarantees the convergence of the estimated rotor speed and position signals to their corresponding actual values. The identification procedure can be performed starting from the knowledge of low resolution rotor position signals, phase currents and the BLDC emfs shape. The identification algorithm is properly tested on a BLDC drive controlled by a predictive algorithm, by performing a simulation study in the Matlab-Simulink environment. The corresponding results have highlighted the effectiveness of the proposed sensorless predictive control system, at both low and high speed operation.

关 键 词：Permanent magnet machines parameters estimation model reference adaptive control predictive control. 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM33[自动化与计算机技术—控制科学与工程]