2015
DOI: 10.4236/eng.2015.710060
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A Robust Extended Kalman Filter for Speed-Sensorless Control of a Linearized and Decoupled PMSM Drive

Abstract: This paper uses a robust feedback linearization strategy in order to assure a good dynamic performance, stability and a decoupling of the currents for Permanent Magnet Synchronous Motor (PMSM) in a rotating reference frame (d, q). However this control requires the knowledge of certain variables (speed, torque, position) that are difficult to access or its sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of motor. And also a stator resistance vari… Show more

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Cited by 17 publications
(8 citation statements)
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References 10 publications
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“…Different approaches of ANN adaptive controllers are proposed in the literature [68,69]. The neuro fuzzy adaptive following control (MFC) is proposed in [70], where the NFC controller is trained online based on the errors that occur between the reference model output signal and the control system. In [62], a PD-improved nonlinear controller is described.…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…Different approaches of ANN adaptive controllers are proposed in the literature [68,69]. The neuro fuzzy adaptive following control (MFC) is proposed in [70], where the NFC controller is trained online based on the errors that occur between the reference model output signal and the control system. In [62], a PD-improved nonlinear controller is described.…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…When the closed-loop gain is −3dB, the corresponding angular frequency of the above system is ω cb [28]. The relationship between the bandwidth of current loop and system parameters is shown in (7).…”
Section: Double-loop Pdf Control Strategy Of Pmsm a Optimal Design Of Pdf Current Controller 1) Double-feedback Structure Pdf Of Current mentioning
confidence: 99%
“…The commercial servo drivers simplify the system to a DC motor model by decoupling method, and apply PI control in current loops [7,8]. The basic principle is to linearly adjust the current error of d-q axis by the proportional-integral control and combine the feedforward method to eliminate the influence of d-q axis coupling relationship on the control performance of PMSM.…”
Section: Introductionmentioning
confidence: 99%
“…The noise is weighted less by the filter, causing also a slower transient performance of system. The noise covariance Q reflects the system model inaccuracy, the errors of the parameters and the noise introduced by the voltage estimation (Tety et al, 2015;Saibi et al, 2015). Q has to be increased at stronger noise driving the system, entailing a more heavily weighting of the measured current and faster transient performance.…”
Section: Choice Of Covariance Matrix Q and Rmentioning
confidence: 99%