Sensorless IPMSM Control Based on an Extended Nonlinear Observer with Rotational Inertia Adjustment and Equivalent Flux Error Compensation

Mao, Yongle; Yang, Jian; Yin, Dejun; Chen, Yangsheng

doi:10.6113/jpe.2016.16.6.2150

Cited by 3 publications

(2 citation statements)

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“…The model uncertainties [5] of the electromechanical servo system can be divided into parameter uncertainty [6], external disturbance [7], non-linear friction [8], and so on. At present, to address the problems of parameter uncertainty and complicated working conditions in the servo system, worldwide researchers primarily adopt disturbance observer technique [3,9,10], adaptive algorithm [11][12][13], and other technologies [6,14]. In ref.…”

Section: Introductionmentioning

confidence: 99%

Linear switched system modelling and analysis for the servo system

Zhang,

Ma,

Yang

et al. 2023

IET Electric Power Appl

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Aiming at resolving the parameter uncertainty of the servo system under multi‐working conditions, a flatness‐based switched linear system model is proposed. Firstly, a fifth‐order linear switched discrete‐time system with uncertain parameters is established. The flatness properties of switched system is described and a de Bruijn's graph‐based framework is introduced for graphical description of the switched system. In addition, non‐linear bode diagrams are obtained via sweeping signals with multiple amplitudes. The discrete equations of the electromechanical servo system are established by the bode plots. The unknown parameters of the subsystems in switched model are identified by the simulated annealing algorithm, and compared with the least squares method to verify the accuracy of the identified parameters. Finally, the simulation model and experimental platform are constructed to verify the effectiveness of the proposed method. The switched model is compared with the classical transfer function model and single subsystems. The results indicate that the resolution of parameter uncertainty in servo systems is effective. The accuracy of the established switched model is about 99.5%. The accuracy of the switched linear system model of the electromechanical servo system is verified and the proposed modelling method is validated.

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Section: Introductionmentioning

confidence: 99%

Linear switched system modelling and analysis for the servo system

Zhang,

Ma,

Yang

et al. 2023

IET Electric Power Appl

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“…Because of the additional circuit, the total system becomes more expensive and mechanically voluminous [5,6]. Therefore, various control methods for the IPMSM have been researched to detect the rotor position without a sensor [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Simple Sensorless Control of Interior Permanent Magnet Synchronous Motor Using PLL Based on Extended EMF

Han¹,

Cho²,

Lee³

2017

Journal of Electrical Engineering and Technology

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-This paper proposes an improved sensorless control to estimate the rotor position of an interior permanent magnet synchronous motor. A phase-locked loop (PLL) is used to obtain the phase angle of the grid. The rotor position can be estimated using a PLL based on extended electromotive force (EEMF) because the EEMF contains information about the rotor position. The proposed method can reduce the burden of calculation. Therefore, the control period is decreased. The simulation and experimental results confirm the effectiveness and performance of the proposed method.

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