An adaptive disturbance rejection method with stability enhancement using adjustable dead-zone for hard disk drives

Lee, Jae‐Seong; Lim, Sung-Yong; Kim, Inho; Jeong, Wooyoung; Park, SungWon; Yang, Hyunseok

doi:10.1109/tmag.2016.2626314

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…Because of the inverter nonlinearity, e.g., dead-zone time, saturation on-voltage drop of switching devices, and pulse width modulation, there are harmonic components in the stator currents, which also affects the estimation accuracy of the rotor position [23]- [25].…”

Section: Nonlinear Harmonic Compensation a Harmonic Influencementioning

confidence: 99%

Low Speed Sensorless Control Based on an Improved Sliding Mode Observation and the Inverter Nonlinearity Compensation for SPMSM

Yuan

Yang

et al. 2020

IEEE Access

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It is a difficult to accurately estimate the rotor position in a surface permanent magnet synchronous motor (SPMSM), especially for low speed conditions because the back electromotive force (EMF) is almost zero. In this paper, an improved sliding mode observer (SMO) with a continuous sliding mode switching function (which could reduce the chattering effect) is proposed to estimate the real-time rotor position at a low speed. Through the introduction of an intermediate variable H , the back EMF is extended at low speed, which could improve the estimation accuracy for the rotor position. In addition, the chattering phenomenon is reduced by redesigning the sliding switching function. On the other hand, inverter nonlinearity also results in torque ripple and deteriorates the drive performance because of the harmonic components in the three-phase stator current. Here, a generalized sliding discrete Fourier transform (GSDFT) strategy is studied to extract the harmonic components, which can then be compensated with the corresponding compensation voltage calculated from the motor mathematical model. With the proposed strategy, the estimation accuracy can be apparently restricted when the rotor speed is lower than 50 rpm, while the chattering effect is also improved. With the nonlinearity compensation, the total harmonic distortion obviously decreases, which can improve the rotor estimation and the torque performance. In addition, the GSDFT algorithm executes in approximately half the time of the SDFT compensation method. INDEX TERMS Surface permanent magnet synchronous motor (SPMSM), low speed, sliding mode observer (SMO), inverter nonlinearity compensation, generalized sliding discrete fourier transform (GSDFT).

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Section: Nonlinear Harmonic Compensation a Harmonic Influencementioning

confidence: 99%

Low Speed Sensorless Control Based on an Improved Sliding Mode Observation and the Inverter Nonlinearity Compensation for SPMSM

Yuan

Yang

et al. 2020

IEEE Access

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“…The paper 33 proposed a direct adaptive method to automatically eliminate the integral quadratic constraints-type state/input-dependent system uncertainties for nonlinear second-order leader-following multiagent systems. Moreover, based on the adaptive control technology, many disturbance rejection control results have been achieved in variously practical control systems, including magnetic position systems, 34 unmanned marine vehicle systems, 35 hard disk drives, 36 motor systems, 37 three-phase power converters, 38 uncertain robotic systems, 39 and rigid spacecrafts. 40 Besides the advantages of adjusting control parameters under perturbed factors, adaptive techniques can also estimate or adjust the unknown system parameters to construct control signals.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive radial‐basis function neural network‐based backstepping control of a class of perturbed nonlinear systems with unknown system parameters

Jin

Lü

Che

et al. 2021

Intl J Robust & Nonlinear

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In this article, the robust adaptive output tracking control problem is addressed for a class of nonlinear systems with nonlinear dynamics and unknown system parameters. The nonlinear dynamics including internal parameter uncertainties and external disturbances are formulated as time-varying state/input-dependent perturbations. Radial-basis function neural networks (RBFNNs) are developed to approximate the perturbations. A robust adaptive RBFNN-based output feedback control strategy against the perturbations is developed by using backstepping technique with immeasurable states and without knowing any system parameter. Based on Lyapunov stability theorem, the asymptotic output tracking results of the closed-loop nonlinear system are obtained in the presence of perturbations, immeasurable states, and unknown system parameters. The efficacy of the proposed adaptive RBFNN-based output feedback control strategy is validated by simulation in a DC-DC buck converter system.

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Minimization of unobservable oscillation in repeatable run-out for magnetic-head positioning system of hard disk drives

Atsumi

2017

Mechatronics

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An adaptive disturbance rejection method with stability enhancement using adjustable dead-zone for hard disk drives

Cited by 4 publications

References 22 publications

Low Speed Sensorless Control Based on an Improved Sliding Mode Observation and the Inverter Nonlinearity Compensation for SPMSM

Low Speed Sensorless Control Based on an Improved Sliding Mode Observation and the Inverter Nonlinearity Compensation for SPMSM

Robust adaptive radial‐basis function neural network‐based backstepping control of a class of perturbed nonlinear systems with unknown system parameters

Minimization of unobservable oscillation in repeatable run-out for magnetic-head positioning system of hard disk drives

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