Disturbance-Observer-Based Sensorless Control of PMSM Using Integral State Feedback Controller

Apte, Aishwarya; Joshi, Vandana; Mehta, Hrishikesh; Walambe, Rahee

doi:10.1109/tpel.2019.2949921

Cited by 118 publications

(49 citation statements)

References 29 publications

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“…III. SENSORLESS PREDICTIVE CONTROL OF PMBLDCM INCLUDING IRON LOSS A sensorless architecture is conducted using a disturbance observer to estimate unknown disturbances due to loss in functioning units [18]. The operational schematic diagram for the proposed disturbance observer based sensorless operation of PMBLDCM is presented in Fig.…”

Section: B Optimal Current Vector Formulationmentioning

confidence: 99%

“…Such performance can be achieved by sensorless operation. Researchers around the globe therefore sought to provide an effective, sensorfree framework for PMBLDCM-fed EV applications [13]- [18]. The research approaches concentrate primarily on either the enhancement of the motor architecture or active ripple compensation of the torque.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a stable state feedback controller to mitigate the effects of disturbances is designed for PMSM using sensorless disturbance observer [18]. These techniques have not yet fundamentally solved the issue of the iron loss of the motor, so there is scope for further study as the effect of motor iron loss has been ignored.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Iron-Loss Modeling With Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application

Kumar

Bhaskar

Muduli

et al. 2021

IEEE Trans. Transp. Electrific.

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Section: B Optimal Current Vector Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Iron-Loss Modeling With Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application

Kumar

Bhaskar

Muduli

et al. 2021

IEEE Trans. Transp. Electrific.

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“…where U (s), X * (s), and X(s) are the Laplace transform of u (t), given current, and feedback current, respectively. Substituting (15), (16) into (18) and taking the Laplace transform on its both sides, then…”

Section: Innovative Current Controller a The Structure Of The Cmentioning

confidence: 99%

“…These methods have improved the control performance in some aspects, faster transient-state response, or better robustness against machine parameter variations, but the superiority comes at the expense of higher current controller complexity. The third method comes from disturbance observers such as disturbance observer [15], [16], Luenberger observer [17] and uncertainty and disturbance estimator (UDE) [18]- [20]. These methods consider the effect of parameters mismatch and uncertainties as lumped disturbance, and then the disturbance observer is applied to estimate the adverse effect.…”

Section: Introductionmentioning

confidence: 99%

A Strongly Robust and Easy-Tuned Current Controller for PMSM Considering Parameters Variation

2020

IEEE Access

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This paper proposes an improved internal-model-control (IMC)-based proportional-integral (PI) current controller for a permanent magnet synchronous motor (PMSM) drive system to solve the parameter dependence problem. The parameter sensitivity of the conventional IMC-based PI controller is analyzed, which indicates that the parameters mismatch would cause oscillation or overshoot. Therefore, this paper utilizes an uncertainty and disturbance estimator to eliminate the impact of the parameters mismatch disturbance caused by the parameters variation. The proposed controller includes an IMC-based PI controller, which is responsible for tracking, and a disturbance estimator, which deals with other control difficulties. The performance and robustness are easily achieved by separately tuning the only two parameters (the desired closed-loop bandwidth and the estimator bandwidth). The frequency-domain characteristic of the proposed current controller indicates that it can effectively suppress the parameters mismatch disturbance. Simulations and experiments have verified the effectiveness of the proposed method.

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Disturbance‐observer‐based speed control for SPMSM drives using modified super‐twisting algorithm and extended state observer

Liu,

Laghrouche,

Depernet

et al. 2023

Asian Journal of Control

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To address the robust speed control problem of the surface‐mounted permanent‐magnet synchronous motor (SPMSM) drive, a novel composite speed controller (CSC) is proposed, which consists of the modified super‐twisting sliding‐mode SC (STSM‐SC) and the extended state observer (ESO). Regarding the motion dynamics of the SPMSM drive, the unmodeled dynamics, endogenous, and exogenous disturbances are lumped together as the total disturbance. The ESO‐based feedforward compensation mechanism is used to deal with the total disturbance for the robustness improvement of the speed control achieved by the modified STSM‐SC‐based feedback regulation mechanism. On the basis of the field‐oriented control strategy, performance comparisons of the standard STSM‐SC, the ESO‐based standard STSM‐SC, the modified STSM‐SC, and the proposed CSC are carried out on a suitably developed experimental setup. The experimental results are presented to validate the superiority of the proposed CSC.

show abstract

Disturbance-Observer-Based Sensorless Control of PMSM Using Integral State Feedback Controller

Cited by 118 publications

References 29 publications

Iron-Loss Modeling With Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application

Iron-Loss Modeling With Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application

A Strongly Robust and Easy-Tuned Current Controller for PMSM Considering Parameters Variation

Disturbance‐observer‐based speed control for SPMSM drives using modified super‐twisting algorithm and extended state observer

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