Pure-Integration-Based Flux Acquisition With Drift and Residual Error Compensation at a Low Stator Frequency

Cho, Kyung-Rae; Seok, Jul-Ki

doi:10.1109/tia.2009.2023487

Cited by 32 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This way of expressing θ e and ω e eliminates the need for L s [d] , which simplifies the observer that can be constructed based on Equations (19), (20) and (22) as it is shown by the diagram in Figure 1. The simplicity and filtering properties of integration make this observer highly desirable and frequently used in selsorless applications of PMSMs whose examples can be found in [25][26][27][28], however, the drift caused by the integration represents the major obstacle in its practical implementations.…”

Section: The Angular Position and Speed Of The Rotormentioning

confidence: 99%

“…To present the problem in [αβ], it is sufficient to consider v s[αβ] and i s[αβ] in a steady state. Therefore, v s[αβ] with an offset can be defined in a steady state according to Equation (20) in terms of the magnitude of the zeroth harmonic of v s[αβ] (v s[αβ],0 ), which represents an offset in v s [αβ] , the magnitude of the fundamental harmonic of each voltage across each of the stationary windings (v s,1 ), ω e , δ e , and the angular shift in the phase of i s with respect to…”

Section: The Problem Of the Driftmentioning

confidence: 99%

“…Similarly, i s[αβ] with an offset can be defined in a steady state based on Equation (2) by adding the magnitude of the zeroth harmonic of i s[αβ] (i s[αβ],0 ), which represents an offset in i s[αβ] , and replacing θ e according to Equation (20) by ω e t as…”

Section: The Problem Of the Driftmentioning

confidence: 99%

“…Since these methods contain the sums of squared values under square roots in the Cartesian to polar conversions, they require 32-bit implementation that makes them unsuitable for inexpensive applications. Solutions with integrators are proposed in [20][21][22][23], where the solution proposed in [20] exhibits limited dynamics that can be seen from the settling time in the presented measurements. The solutions in [21,22] are fundamentally identical and have good dynamics, but the downside is the requirement of the reference value of the magnitude of the resulting magnetic flux linkage.…”

mentioning

confidence: 99%

See 3 more Smart Citations

A Driftless Estimation of Orthogonal Magnetic Flux Linkages in Sensorless Electrical Drives

Strinić

2018

Actuators

View full text Add to dashboard Cite

Estimations of magnetic flux linkages, either between the stationary windings of the stator for the direct torque control (DTC), or between the stationary windings and the rotor for the sensorless field-oriented control (FOC), are based on integration of corresponding voltages. Integration of voltages with offsets that come from improperly calibrated measurements as well as from transient states generally produces unwanted drifts in the resulting magnetic flux linkages, which when used within any type of control of sensorless electrical drives results in instability. This paper addresses that problem and proposes a simple self-contained solution based on orthogonal properties of waveforms of input voltages and resulting magnetic flux linkages in the frame of reference fixed to the geometry of the stator. The proposed solution requires only two periodic orthogonal input waveforms with a distinct common fundamental harmonic, which as such is independent of the type and parameters of the used machine. The idea of the proposed solution is presented analytically, its stability is proven by means of the quadratic Lyapunov theory, and its functionality is demonstrated by standalone simulations and experiments within the sensorless FOC of a permanent magnet synchronous machine (PMSM). limited because the drift for larger transients can become too large within one period to be successfully compensated. The standard solution to the problem of the drift is the replacement of the integrators by low-pass filters (LPFs), where the idea is to asymptotically match the magnitude characteristic of the integrators above 1 rad·s −1 in the frequency domain so that the gain for the frequencies below 1 rad·s −1 is one, or equivalently 0 dB. The same effect can be achieved with a high-pass filter (HPF) in a cascade with each of the integrators. Such solutions with the fixed cut-off frequencies of the filters affect both the magnitude and the phase of the output waveforms of the magnetic flux linkages, as it can be seen from the results presented in [5][6][7][8][9][10][11]. The influence of the cut-off frequency on the magnitude for the frequencies more than two octaves above it is practically negligible, while the influence on the phase can be considered negligible for the frequencies more than two decades above the cut-off frequency. Since the dynamics of the filters is proportional to their cut-off frequency, cascaded LPFs presented in [12,13] vary their cut-off frequency to achieve better dynamics, while the influence on the magnitude and the phase of the resulting magnetic flux linkages is compensated according to the frequency of the input voltages. Similar solutions based on programmable LPFs with variable cut-off frequencies are presented in [14][15][16][17], where the dynamics are defined by the ratio of the cut-off frequencies to the frequency of the input voltages, while the magnitude and the phase of the resulting waveforms are constant and as such are easily compensable. Solutions based on orthogonality between the input vol...

show abstract

Section: The Angular Position and Speed Of The Rotormentioning

confidence: 99%

Section: The Problem Of the Driftmentioning

confidence: 99%

Section: The Problem Of the Driftmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A Driftless Estimation of Orthogonal Magnetic Flux Linkages in Sensorless Electrical Drives

Strinić

2018

Actuators

View full text Add to dashboard Cite

show abstract

“…In motion-sensorless feedback-loop control approaches, rotor position knowledge is crucial. Feedback-loop motion-sensorless control mechanisms are additionally categorized into two subcategories based on the distinct assessment principles for rotor-position information: injection of a high-frequency carrier signal method (IHFCSM) [6][7][8] as well as model-based techniques [9][10][11][12][13][14][15][16][17]. The IHFCSM offers a promising solution by utilizing magnetic saliency identification and introducing a signal with an HF to interact with rotor-orientation-dependent saliencies.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Integrator with Drift Elimination for Accurate Flux Estimation in Sensorless Controlled Interior PMSM for High-Performance Full Speed Range Hybrid Electric Vehicles Applications

Rahman

Xia

2023

Machines

View full text Add to dashboard Cite

Interior Permanent Magnet Synchronous Motor (IPMSM) motion-sensorless speed control necessitates precise knowledge of rotor flux, speed, and position. Due to numerous non-ideal aspects, such as converter nonlinearities, detection errors, integral initial value, and parameter mismatches, the conventional first-order integrator’s estimated rotor flux experiences a DC offset (Doff). Low-pass filters (LPF) with a constant cut-off frequency yield accurate estimates only in the medium- and high-speed range; however, at the low-speed area, both magnitude and phase estimates are inaccurate. The presented technique resolves the aforementioned issue for a broad speed range. In order to achieve precise flux estimation, this article presents an improved technique of flux estimator with two distinct drift mitigation strategies for the motion-sensorless field-oriented control (FOC) system of IPMSM. Using the orthogonality of the α- and β-axes, the proposed drift elimination system can estimate drift in different situations while maintaining a high level of dynamic performance. The stator flux linkage (SFL) computation in the synchronous coordinate is established from the estimation of the rotating shaft’s permanent magnetic flux linkage orientation and the statistical equations model of the SFL. By comparing the calculated SFL vector to the SFL vector derived from the stator winding voltage and currents integral model with a drift PI compensation loop, a feedback loop is formed to neutralize integral drift, and the rotational speed and position of an IPMSM is estimated utilizing the vector product of the two flux linkages in a phase-locked loop. Theoretical interpretation is presented, and Matlab Simulink simulations, as well as experimental outcomes, consistently demonstrate that the suggested estimation techniques can eliminate the phenomenon of flux drift.

show abstract

sDFT Based IRP Detection of the Electrical Excited Synchronous Machine

Fang

Xia

2023

Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering

View full text Add to dashboard Cite

Pure-Integration-Based Flux Acquisition With Drift and Residual Error Compensation at a Low Stator Frequency

Cited by 32 publications

References 16 publications

A Driftless Estimation of Orthogonal Magnetic Flux Linkages in Sensorless Electrical Drives

A Driftless Estimation of Orthogonal Magnetic Flux Linkages in Sensorless Electrical Drives

Enhanced Integrator with Drift Elimination for Accurate Flux Estimation in Sensorless Controlled Interior PMSM for High-Performance Full Speed Range Hybrid Electric Vehicles Applications

sDFT Based IRP Detection of the Electrical Excited Synchronous Machine

Contact Info

Product

Resources

About