Accurate MTPA Strategy of PMSM Considering Cross Saturation Effect Based on Full-Flux-Linkage Model

Zhou, Jiayue; Xiao, Xi; Wang, Zinan; Lü, Haifeng; Chai, Jianyun; Zhang, Meng

doi:10.1109/ecce50734.2022.9947768

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Many control approaches of electrical drive systems are based on linear [1] or nonlinear [2,3] electrical machine models which rely on machine parameters (e.g. resistance) and apparent or differentiable inductances and/or flux linkage maps.…”

Section: Motivationmentioning

confidence: 99%

A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines

Monzen¹,

Pfeifer²,

Hackl³

2023

Preprint

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<p>Synchronous machines (SMs) like reluctance synchronous machines (RSMs) or interior permanent magnet synchronous machines (IPMSMs) are characterized by nonlinear stator flux linkages which are crucial for optimal control and operation management. This paper presents a novel disturbance observer that allows to estimate the nonlinear flux linkages online for any SM (with constant or no excitation). Moreover, a simple identification sequence with ramp-like voltage signals is proposed to extract key information of the nonlinear stator flux linkage maps within a short period of time and without the need of any controller, torque sensor or prime mover. Finally, the proposed observer with identification sequence is implemented and validated for a real and highly nonlinear IPMSM by realistic and detailed simulation results. </p>

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Section: Motivationmentioning

confidence: 99%

A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines

Monzen¹,

Pfeifer²,

Hackl³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The third method usually requires an accurate LUT for inductance, regarded as parameter-dependent. For example, in [20][21][22][23], the online searching method was used based on the understanding of all parameters from the FEA results.…”

Section: Introductionmentioning

confidence: 99%

Automated Maximum Torque per Ampere Identification for Synchronous Reluctance Machines with Limited Flux Linkage Information

Wang,

Varvolik,

Bao

et al. 2024

Machines

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The synchronous reluctance machine is well-known for its highly nonlinear magnetic saturation and cross-saturation characteristics. For high performance and high-efficiency control, the flux-linkage maps and maximum torque per ampere table are of paramount importance. This study proposes a novel automated online searching method for obtaining accurate flux-linkage and maximum torque per ampere Identification. A limited 6 × 2 dq-axis flux-linkage look-up table is acquired by applying symmetric triangle pulses during the self-commissioning stage. Then, three three-dimensional modified linear cubic spline interpolation methods are applied to extend the flux-linkage map. The proposed golden section searching method can be easily implemented to realize higher maximum torque per ampere accuracy after 11 iterations with a standard drive, which is a proven faster solution with reduced memory sources occupied. The proposed algorithm is verified and tested on a 15-kW SynRM drive. Furthermore, the iterative and execution times are evaluated.

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IPMSM Control System Based on Maximum Torque Per Ampere Strategy

Nicola,

Prejbeanu

et al. 2024

2024 6th Global Power, Energy and Communication Conference (GPECOM)

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Accurate MTPA Strategy of PMSM Considering Cross Saturation Effect Based on Full-Flux-Linkage Model

Cited by 5 publications

References 6 publications

A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines

A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines

Automated Maximum Torque per Ampere Identification for Synchronous Reluctance Machines with Limited Flux Linkage Information

IPMSM Control System Based on Maximum Torque Per Ampere Strategy

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