Identification of ohmic stator resistance based on low frequency current signal injection in permanent magnet synchronous machines

Kellner, Sven Ludwig; Piepenbreier, Bernhard

doi:10.1109/epepemc.2010.5606555

Cited by 12 publications

(11 citation statements)

References 9 publications

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“…Same idea is used in [5], but with a low frequency alternating i d * current with the same opposite dc levels. ii) A linear regression method is adopted to overcome the influence of inverter nonlinearities by injecting a ramp i d * current signal with u q * =0 [6].…”

Section: Introductionmentioning

confidence: 94%

Self-commissioning of electrical parameters for PMSM in sensorless drives

Lascu

Andreescu

2015

2015 Intl Aegean Conference on Electrical Machines &Amp; Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Ele

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PMSM applications in high-performance control, with or without sensors, involve well self-tuning of the controllers and observers to machine parameters with off/on-line identifications for "plug-in" controllers. This paper proposed self-commissioning methods to automatic identify the PMSM electrical parameters (stator resistance, dq-inductances and PM flux) in sensorless drives, sometimes the rotor is allowed to move. No added hardware or off-line manipulation is required. An observer-based equivalent stator resistance identification, including the inverter resistance and dead-time, is developed at standstill by using two dc current injection levels in phase a and the corresponding stator voltage references. A new dq-inductance identification strategy using HF voltage injection at standstill is proposed with two cascaded observers: i) observer of the currentproduced stator flux (without PM flux) -robust to dc offset and PM flux, and then ii) observer of the dq-inductancesbased on the error of the current-produced stator flux. The PM flux is estimated at constant speed with V/f control in two steps: the stator flux without integration, and the rotor position based on the active flux are estimated in αβ stator reference, and then the PM flux is computed in dq rotor reference. The identification methods are validated by simulation results with good results.

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Section: Introductionmentioning

confidence: 94%

Self-commissioning of electrical parameters for PMSM in sensorless drives

Lascu

Andreescu

2015

2015 Intl Aegean Conference on Electrical Machines &Amp; Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Ele

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“…By applying Equation (3) to (1), one obtains: (4) where and are the stator voltages on the and axes respectively, and are the stator currents on the and axes respectively, and are the stator flux linkages on the and axes respectively, and is the electro-mechanical speed. In order to complete the description of the drive system, the torque equation and the mechanical equation should be added: (5) where is the motor torque, is the number of pole pairs, is the mechanical inertia, is the viscous friction of the mechanical system, and is the mechanical speed equal to .…”

Section: Machine Modelmentioning

confidence: 99%

“…Whether the machine is a surface/interior permanent magnet machine (SPMM or IPMM) or a synchronous reluctance motor (SynRM), the problems of the estimation are quite similar. The stator resistance changes with temperature [4], the magnet flux linkage (if any) is influenced by the temperature and ageing [4], [5], [9], while inductances are subjected to saturation [5]. Different techniques apply to the on-line parameter estimation: Model-reference adaptive systems [1], Kalman filters [1], artificial neural networks [8], recursive least square error methods [2], signal injection methods [7], observers based on Lyapunov theory [5], estimators based on machine equations [3], [6], [10].…”

Section: Introductionmentioning

confidence: 99%

“…Different techniques apply to the on-line parameter estimation: Model-reference adaptive systems [1], Kalman filters [1], artificial neural networks [8], recursive least square error methods [2], signal injection methods [7], observers based on Lyapunov theory [5], estimators based on machine equations [3], [6], [10]. Some approaches consider constant inductances, as [4] and [9], limiting their utilisation to systems on which there exists some prior knowledge of the machine characteristics. Other solutions, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Combined current/voltage model with inductance mismatch compensation for on-line estimation of flux linkages in synchronous motor drives

Peretti¹,

Zigliotto²

2012

6th IET International Conference on Power Electronics, Machines and Drives (PEMD 2012)

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A flux linkage estimator for synchronous machines which combines a voltage and a current model is analysed, based on an original scheme with some modifications. The proposed schemes assure convergence at steady-state and better transient performances. Simulation and experimental results were performed for different combinations of control schemes and flux linkage estimators, validating the discussed theory.

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“…Besides the resistance of the machine windings, which depends on the temperature, the machine inductances are very important. A new measurement method for the resistance of PMSM is described in [3]. This paper will focus on a new measurement method of differential machine inductances with the emphasis on sensorless control.…”

Section: Introductionmentioning

confidence: 99%

Determination of differential inductances of permanent magnet synchronous machines for sensorless control

Peter

Hahn

2011

2011 IEEE International Electric Machines &Amp; Drives Conference (IEMDC)

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This paper presents a novel approach for measuring the differential inductances in a permanent magnet synchronous machine (PMSM). The knowledge of their accurate values is a prerequisite for sensorless vector controlled systems with carrier signal injection. For the measurements a standard industrial power converter is used. Besides the determination of selfinductances in the rotor-fixed reference frame, the measurement of the cross-coupling differential inductances namely the cross saturation is a main part. A high frequency sine signal injection method is used for this purpose. The measurement is compared with the result of FEM calculations.In the second part the influence of the rotor position and the machine load in steady state on the high frequency current amplitude in the quadrature axis is analysed, while the signal is only injected in the direct axis. The results of these measurements are compared with saturation effects in the machine.Index Terms-Permanent magnet synchronous machine, sensorless control, differential cross-saturation inductances, high frequency injection method, rotor position dependency.

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Identification of ohmic stator resistance based on low frequency current signal injection in permanent magnet synchronous machines

Cited by 12 publications

References 9 publications

Self-commissioning of electrical parameters for PMSM in sensorless drives

Self-commissioning of electrical parameters for PMSM in sensorless drives

Combined current/voltage model with inductance mismatch compensation for on-line estimation of flux linkages in synchronous motor drives

Determination of differential inductances of permanent magnet synchronous machines for sensorless control

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