Robust sensorless sliding mode control with Luenberger observer design applied to permanent magnet synchronous motor

Bakhti, Ibtissem; Chaouch, Souad; Makouf, A.; Douadi, T.

doi:10.1109/icosc.2016.7507051

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…In [30] the authors present an active disturbance rejection control (ADRC) based on the identification of the rotor position based on a high-frequency injection methodology. In [31] a sliding mode control for constant speed control is reported, exploiting a sensor-less architecture based on a linear Luenberger observer. In [32] a new high-speed sliding mode observer (SMO) is proposed for a Permanent Magnet Linear Synchronous Motor (PMLSM) based on the sliding mode variable structure theory in which sigmoid function is used for the SMO as a switching function of the control law, eliminating sliding mode chattering and improving its response rate.…”

Section: State-of-art On Cogging Torque Reductionmentioning

confidence: 99%

Design of an Observer-Based Architecture and Non-Linear Control Algorithm for Cogging Torque Reduction in Synchronous Motors

Dini

Saponara

2020

Energies

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The problem of cogging torque is due to a magnetic behavior, intrinsic to synchronous machines and due to the presence of permanent magnets themselves. Cogging torque is a significant problem when the servo drive is used for applications where high precision in terms of position control is required. In this paper we present a method of cogging torque reduction by means of a control technique based on mathematical modeling of the cogging phenomenon itself in order to exploit this knowledge directly in the controller design. The mathematical model is inserted in the dynamic model of the synchronous machine in order to exploit the feedback linearization, providing an expression of the control law in which the contribution of the deterministic knowledge of the phenomenon is directly present. The cogging phenomenon physically depends on the angular position of the rotor, as well as the deterministic model we use to define the control vector. This makes it interesting and innovative to determine whether the control algorithm can be inserted within a sensor-less architecture, where rotor position and angular velocity measurements are not available. For this purpose, we present the use of an extended Kalman filter (EKF) in the continuous-time domain, discussing the advantages of an observer design based on a dynamic motor model in three-phase and direct-square axes. Results are presented through very accurate simulation for a trajectory-tracking problem, completing with variational analysis in terms of variation of initial conditions between EKF and motor dynamics, and in terms of parametric variation to verify the robustness of the proposed algorithm. Moreover, a computational analysis based on Simulink Profiler is proposed, which provides some indication for possible implementation on an embedded platform.

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Section: State-of-art On Cogging Torque Reductionmentioning

confidence: 99%

Design of an Observer-Based Architecture and Non-Linear Control Algorithm for Cogging Torque Reduction in Synchronous Motors

Dini

Saponara

2020

Energies

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“…In this work the Luenberger observer design is used to estimate speed and position. The stator voltage model in the rotor reference frame for a PMSM is given by [14][15]:…”

Section: Luenberger Observermentioning

confidence: 99%

“…Using the adaptive observer of (11), the estimated EEMF components (αβ) can be written as follows: From (14) the adaptive observer can be written as: To evaluate the performances of the described methods, a set of simulations have been performed on a Matlab/Simulink. The current control algorithm is carried out every 100 μs, and the speed control loop is carried out every 1ms.…”

Section: Back-emf Observermentioning

confidence: 99%

Fault Tolerant Control of PMSM Drive Using Luenberger and Adaptive Back-EMF Observers

Medjmadj¹

2019

EJEE

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In this paper, we propose to design a sensorless controller that can cope both with performance and robustness by the hybridization of two controllers. The strategy introduced in this paper includes the sensorless active fault tolerant controller of the PMSM drive at high speed. It is built with the combination of a vector controller, two virtual sensors: Luenberger and adaptive back-EMF observers, and a voting algorithm using Newton-Raphson method. Simulation results are provided to verify effectiveness of the proposed strategy of a 1kW PMSM motor driven by fault tolerant control in case of position sensor outage.

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“…The former method estimates the rotor position through the back EMF of the motor [2]- [3] . Li et al combined extended Kalman filter with model prediction to reduce the dependence of the system on the accuracy of model parameters in [2].…”

Section: Introductionmentioning

confidence: 99%

Compensation of Position Estimation Error in PMSM Sensor-less Control Based on High Frequency Square Wave Injection

Zhao

Wang

et al. 2022

J. Phys.: Conf. Ser.

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The high-frequency square-wave injection method is widely used to estimate rotor position at low speed. However, the accuracy and reliability of the method are greatly affected by the dead-time effect. The specific expression of position error is deduced. On this basis, a dead zone error reduction method based on second-order general integrator (SOGI) is adopted to improve the accuracy of position estimation. Besides, low-pass filter needs to be introduced into the current loop, which will bring delay to the system. Aiming at this problem, a delay compensation algorithm is adopted, which can effectively improve the accuracy of position estimation. Results of simulation verify the effectiveness of the methods and their applicability to PMSM sensorless control systems.

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Robust sensorless sliding mode control with Luenberger observer design applied to permanent magnet synchronous motor

Cited by 10 publications

References 5 publications

Design of an Observer-Based Architecture and Non-Linear Control Algorithm for Cogging Torque Reduction in Synchronous Motors

Design of an Observer-Based Architecture and Non-Linear Control Algorithm for Cogging Torque Reduction in Synchronous Motors

Fault Tolerant Control of PMSM Drive Using Luenberger and Adaptive Back-EMF Observers

Compensation of Position Estimation Error in PMSM Sensor-less Control Based on High Frequency Square Wave Injection

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