Torque measurements in synchronous generators using giant magnetoresistive sensor arrays via the Maxwell stress tensor

Traore, Wendyam F.; McCann, Roy

doi:10.1109/pesmg.2013.6672247

Cited by 9 publications

(9 citation statements)

References 17 publications

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“…Finally, if the HF is injected between d and q-axes, i.e.,θ r = θ r + π/4 , (27) can be simplified into (28) [32]. From (28) the HF inductances (29) and (30) are readily obtained. Figure 5 shows the inverter control block diagram and the signal processing needed for torque estimation when pulsating HF voltage injection at an arbitrary angle of injection,θ r , is used for dq-axes HF inductance estimation.…”

Section: Pulsating Voltage Injectionmentioning

confidence: 99%

“…Torque estimation methods can be roughly separated into (a) methods based on the torque equation [21,22] and (b) indirect estimation methods [23][24][25][26][27][28][29][30][31]. The first type can use the General Torque Equation (GTE) assuming constant motor parameters [21], Flux estimation with Compensation Scheme (FCS) where dq-flux linkage is estimated by the measurement of stator voltage, currents and rotor position [21] or look-up-tables, which are used to adjust the machine parameters according to machine operating conditions [22].…”

Section: Introductionmentioning

confidence: 99%

“…The first type can use the General Torque Equation (GTE) assuming constant motor parameters [21], Flux estimation with Compensation Scheme (FCS) where dq-flux linkage is estimated by the measurement of stator voltage, currents and rotor position [21] or look-up-tables, which are used to adjust the machine parameters according to machine operating conditions [22]. A large number on indirect torque estimation methods have been proposed, which go from a simple power balance with known electric power and rotor speed [23], observer based methods [24][25][26][27][28][29] (e.g., sliding mode observers [24], model reference adaptive systems [25,26], model reference observers, reduced order observers [27], recursive least square parameters estimation [28] or affine projection algorithms parameters estimation [29]), methods requiring additional sensors, e.g., giant magnetoresistance effect (GMR) based methods [30], or neural networks based methods [31]. All these methods [21][22][23][24][25][26][27][28][29][30][31] require previous knowledge of certain machine parameters (e.g., resistances or inductances) and/or its operating condition (e.g., temperature).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Analysis of High Frequency Signal Injection Based Torque Estimation Methods for SPMSM, IPMSM and SynRM

Martinez¹,

Reigosa²,

Fernández³

et al. 2020

Energies

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Torque estimation in permanent magnet synchronous machines and synchronous reluctance machines is required in many applications. Torque produced by a permanent magnet synchronous machine depends on the permanent magnets’ flux and d q -axes inductances, whereas torque in synchronous reluctance machines depends on the d q -axes inductances. Consequently, precise knowledge of these parameters is required for proper torque estimation. The use of high frequency signal both for permanent magnets’ flux and d q -axes inductances estimation has been recently shown to be a viable option. This paper reviews the physical principles, implementation and performance of high-frequency signal injection based torque estimation for permanent magnet synchronous machines and synchronous reluctance machines.

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Section: Pulsating Voltage Injectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparative Analysis of High Frequency Signal Injection Based Torque Estimation Methods for SPMSM, IPMSM and SynRM

Martinez¹,

Reigosa²,

Fernández³

et al. 2020

Energies

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show abstract

“…Torque estimation methods can be roughly classified into: torque equation methods [8]- [9], indirect estimation methods [10]- [17] or neural networks [18]. Torque equation methods include methods based on general torque equation [8], flux estimation [8] or look-up-tables [9].…”

confidence: 99%

“…sliding mode observers [11], model reference adaptive systems [12]- [13], model reference observers and reduced order observers [14], recursive least square parameters estimation [15] or affine projection algorithms parameters estimation [16] being the most extended) or methods requiring additional sensors, e.g. giant magnetoresistance effect (GMR) based methods [17]. All these methods [8]- [18] require previous knowledge of certain machine parameters and/or its operating condition (e.g.…”

confidence: 99%

PMSMs Torque Estimation Using Pulsating HF Current Injection

Martinez

Reigosa

Fernández

et al. 2018

2018 IEEE 9th International Symposium on Sensorless Control for Electrical Drives (SLED)

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Torque estimation in permanent magnet synchronous machines (PMSMs) is highly desirable in many applications. Torque produced by a PMSM depends on the permanent magnets' (PM) flux and dq-axis inductances. Consequently, precise knowledge of these parameters is required for proper torque estimation. This paper proposes the use of a high frequency (HF) signal for PM flux and dq-axis inductances estimation. The HF signals will be injected in the stator via inverter superposed on top of the fundamental excitation. Appealing properties of this method include operation in real time, without interference with the normal operation of the machine and independent of machine working condition. 1

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SPMSMs Sensorless Torque Estimation Using High Frequency Signal Injection

Reigosa

Kang

Martinez

et al. 2019

2019 IEEE Energy Conversion Congress and Exposition (ECCE)

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Torque measurement/estimation in surface permanent magnet synchronous machines (SPMSMs) is needed in many applications. Torque measurement systems are expensive, require extra room, add weight, can introduce resonances into the system, and their performance can be compromised due to electromagnetic interference.Alternatively, torque can be estimated, accurate knowledge of machine parameters being critical in this case. Injection of a high frequency (HF) signal in the stator via inverter has been shown to be a viable option for online identification of machine parameters identification required by torque estimation methods for interior PMSMs (IPMSMs). However, the reported methods require the use of two pulsating HF currents, which introduces concerns both on the adverse effects on machine's performance (additional noise, vibration, losses, …) as well as to the additional computational burden, as HF current controllers are required. This paper proposes a torque estimation method for SPMSMs using a single HF signal; further more, a HF voltage signal can be used, avoiding the use of HF current controllers, and therefore simplifying the implementation. 1

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Torque measurements in synchronous generators using giant magnetoresistive sensor arrays via the Maxwell stress tensor

Cited by 9 publications

References 17 publications

Comparative Analysis of High Frequency Signal Injection Based Torque Estimation Methods for SPMSM, IPMSM and SynRM

Comparative Analysis of High Frequency Signal Injection Based Torque Estimation Methods for SPMSM, IPMSM and SynRM

PMSMs Torque Estimation Using Pulsating HF Current Injection

SPMSMs Sensorless Torque Estimation Using High Frequency Signal Injection

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