A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method

Himker, Niklas; Lindemann, Georg; Wiedmann, Karsten; Weber, Bastian; Mertens, Axel

doi:10.1109/jestpe.2021.3065211

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…The estimator is based on the simplified model of the PMSM, as described in [4], which takes only the most important effects into account. Here, only the results of the simplification and the assumptions made are presented.…”

Section: A Model Of the Pmsmmentioning

confidence: 99%

“…The PWM generator controls the MOSFET-based inverter with a dc-link voltage of 48 V and uses FPGA-based high dynamic dead time compensation [15]. For current control, a field-oriented control (FOC) with maximum torque per current (MTPC) is implemented, as explained in [4]. The control scheme used with SSC is shown in Fig.…”

Section: B Experimental Test Benchmentioning

confidence: 99%

“…The early observers or estimators used in SSC estimate the position and speed of the PMSM based on a phaselocked loop (PLL) [2], [3]. A phase-locked loop (PLL) is easy to implement, but the closed-loop behavior results in an oscillatory second-order transfer function, which is quite difficult to parameterize analytically [4]. Most of times, a numerical solution for the small signal transfer function of the SSC is needed.…”

Section: Introductionmentioning

confidence: 99%

“…As excitation, a square-wave injection (SWI) [11] is used. The estimator based on this specific expression of the residual has been named flux derivative estimator (FDE) [4].…”

Section: Introductionmentioning

confidence: 99%

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Analytical Design of Self-Sensing Control for PMSM Using Quasi-Direct Calculation

Himker

Mertens

2023

IEEE Open J. Ind. Applicat.

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The analytical description and parameterization of a self-sensing control (SSC) for an electrical machine is an important step toward easier commissioning of these systems. In this article, the advantages of high bandwidth position estimation via numerical optimization and the filtering characteristics of a phaselocked loop are combined in the quasi-direct (QD) calculation. The QD calculation uses two parameters for estimation. With the help of the maximum possible acceleration of the drive train, an interdependency between these two parameters is derived. The remaining degree of freedom is used to tune the dynamics of the estimation. Using the transfer function of the estimator, which is derived analytically, the parameters of the speed control are selected, and a specified phase-margin is implemented. With the help of the analytical parameterization, no empirical or numerical tuning needs to be done, which is unique for SSC. All results are experimentally validated.

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Section: A Model Of the Pmsmmentioning

confidence: 99%

Section: B Experimental Test Benchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…As excitation, a square-wave injection (SWI) [11] is used. The estimator based on this specific expression of the residual has been named flux derivative estimator (FDE) [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations