1998
DOI: 10.1109/41.681226
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New sensorless control for brushless DC motors using disturbance observers and adaptive velocity estimations

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Cited by 117 publications
(49 citation statements)
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“…For this kind of applications, see DOB [5], [25], [28], [31], [95], SMDO [96], ESO [35], [89], [97], [98], GPIO [90], [91] and IDO [93], [94] applied to PMSM ( [5], [25], [28], [35], [96]), IM ( [89]- [91], [93], [94]), BLDCM ( [95], [97]) and switching reluctance motor ( [98]) to name but just a few.…”
Section: ) Lumped Disturbance/uncertainty Estimatormentioning
confidence: 99%
“…For this kind of applications, see DOB [5], [25], [28], [31], [95], SMDO [96], ESO [35], [89], [97], [98], GPIO [90], [91] and IDO [93], [94] applied to PMSM ( [5], [25], [28], [35], [96]), IM ( [89]- [91], [93], [94]), BLDCM ( [95], [97]) and switching reluctance motor ( [98]) to name but just a few.…”
Section: ) Lumped Disturbance/uncertainty Estimatormentioning
confidence: 99%
“…Harnefors and Nee [8] introduce a position and speed observer-based estimator for AC motors, using electric variables measurements. In [9] mechanical variables are estimated from electrical ones in a brushless DC motor. In [10] a nonlinear reduced order observer is used for estimating mechanical variables in a permanent magnet synchronous motor.…”
Section: Introductionmentioning
confidence: 99%
“…The second group is based on estimation techniques that usually utilize phase voltages and currents of the motor. By using these quantities, the rotor position of the motor can be determined using a state observer [4]- [6], or a Kalman filtering technique [7], [8], or by direct calculations [9]- [11]. However, these techniques are computationally intensive, and large rotor position detection errors may occur because of quantization and truncation errors, and measurement inaccuracies.…”
Section: Introductionmentioning
confidence: 99%