Title :
A parameter estimation method for on-line failure detection in permanent magnet AC-brushless motors having current-dependent parameters
Author :
Pizzo, Andrea Del ; Spina, Ivan ; Schäfer, Uwe ; Beti, Lorenz Taus
Author_Institution :
Dept. of Electr. Eng., Univ. of Naples "Federico II", Naples, Italy
Abstract :
With reference to anisotropic permanent magnet (PM) brushless motors, the papers deals with a procedure for on-line identification of electrical parameters, based on the “recursive least square method”, designed for the cases of strong parameters variation depending on the operating condition. The identification procedure is superimposed to a conventional control diagram of PM AC-brushless drives (either torque-control or speed-control) and is really very simple. The results of this analysis can be used as identifiers of failure conditions in the drive; otherwise, during motor characterization on a test-bench, the method can be a simple instrument to map motor parameters in different operating conditions. The proposed technique is tested by means of numerical investigation on a motor whose electrical parameters have been off-line evaluated by experimental measurements and mapped in different operating conditions.
Keywords :
AC motor drives; brushless machines; least squares approximations; machine control; parameter estimation; permanent magnet motors; recursive estimation; PM AC-brushless motor drives; anisotropic PM brushless motors; anisotropic permanent magnet brushless motors; control diagram; current-dependent parameters; electrical parameters; motor characterization; numerical investigation; on-line failure detection; parameter estimation method; permanent magnet AC-brushless motors; recursive least square method; test-bench; Brushless motors; Current measurement; Equations; Mathematical model; Parameter estimation; Rotors; Temperature measurement; AC machine; Adaptive Control; Brushless Machine; Electrical Fault Detection; Fault Diagnosis; Machine Vector Control; Parameter Estimation; Permanent Magnet Machine; Recursive Estimation; Variable Speed Drives;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-9301-2
Electronic_ISBN :
978-1-4244-9302-9
DOI :
10.1109/DEMPED.2011.6063633