Simplified Fuzzy-Logic-Based MTPA Speed Control of IPMSM Drive

Butt, Casey; Hoque, Md. Ashraful; Rahman, M.A.

doi:10.1109/tia.2004.836312

Cited by 100 publications

(22 citation statements)

References 19 publications

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“…The sampling frequency for control action is set at 10 kHz. A q-axis current of 130 A is applied and the corresponding d-axis current is determined in order to achieve maximum torque per ampere (MTPA) [2]: It is noted that L d0 and L q0 are the nominal inductances in Equations (6) and (7). For implementation, care should be taken for the zero current in the steady state.…”

Section: Simulationmentioning

confidence: 99%

“…Therefore, the d-q fluxes are chosen to be and 0 at the initial time when no current is applied. These choices make sense since the d and q fluxes corresponding to zero current are computed to be and 0, from an ideal flux model (1) and (2). It is observed that significant flux estimation errors are present from 0 s to 0.…”

Section: Simulationmentioning

confidence: 99%

“…In recent years, interior permanent-magnet synchronous motors (IPMSMs) have emerged as superior solutions for use in high-performance drive applications, owing to their advantageous features such as high efficiency, high power density, robust and wide-speed operation, and low noise [1][2][3]. The benefits of using the IPMSM drives have been established well in [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…As seen in Equations (1) and (2), the ideal model assumes that the d-and q-axis stator inductances L d and L q are constant, and hence, independent of any currents, which is not the case in reality. Considering the core saturation effect and the spatial unbalance of fluxes, the d-and q-axis stator inductances are the functions of the d-and q-axis currents, and, furthermore, the cross-coupling phenomena cannot be neglected.…”

mentioning

confidence: 99%

“…Therefore, such current-dependent inductances and the mutual interactions between the d-and q-axes should be reflected for accurate torque estimation. In other words, it is necessary to modify the IPMSM model in Equations (1) and (2) and the corresponding torque Equation (3) into more realistic versions.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter Variations

Yang¹,

Mok

Lee

et al. 2017

Energies

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This paper presents a new adaptive torque estimation algorithm for an interior permanent magnet synchronous motor (IPMSM) with parameter variations and cross-coupling between d-and q-axis dynamics. All cross-coupled, time-varying, or uncertain terms that are not part of the nominal flux equations are included in two equivalent mutual inductances, which are described using the equivalent d-and q-axis back electromotive forces (EMFs). The proposed algorithm estimates the equivalent d-and q-axis back EMFs in a recursive and stability-guaranteed manner, in order to compute the equivalent mutual inductances between the d-and q-axes. Then, it provides a more accurate and adaptive torque equation by adding the correction terms obtained from the computed equivalent mutual inductances. Simulations and experiments demonstrate that torque estimation errors are remarkably reduced by capturing and compensating for the inherent cross-coupling effects and parameter variations adaptively, using the proposed algorithm.

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Section: Simulationmentioning

confidence: 99%

Section: Simulationmentioning

confidence: 99%