Sensorless PMSM Drive Based on Stator Feedforward Voltage Estimation Improved With MRAS Multiparameter Estimation

Kıvanç, Ömer Cihan; Öztürk, Salih Barış

doi:10.1109/tmech.2018.2817246

Cited by 201 publications

(83 citation statements)

References 40 publications

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“…One effective method to solve the rank-deficient problem is that several parameters are estimated online while the remaining electrical parameters are treated as the nominal values. In [20], multi-parameter estimation for the resistance and the flux linkage using the model reference adaptive system (MRAS) method is performed while the stator inductance is treated as a known parameter. So the estimation accuracy is sensitive to the foreknown inductance.…”

Section: Introductionmentioning

confidence: 99%

Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control

Yao

Huang

Peng

et al. 2020

IEEE Trans. Power Electron.

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In this paper, a position sensorless drive and online parameter estimation method for surface-mounted PMSM based on adaptive full-state feedback current control is proposed. The position sensorless drive is established by the detection of the back-EMF in the γδ synchronous reference frame, which is effective at the medium-speed and high-speed range. Besides, accurate estimation of the winding resistance, the stator inductance and the flux linkage of the PM is achieved independently. Compared with the traditional recursive-least-square (RLS) methods, the proposed parameter identification method can be easily implemented because of the significantly reduced execution time. With the help of the parameter identification, the precise position estimation can be achieved by the proposed sensorless control method regardless of the parameter variation during the operation. The stability of the proposed method is proved by the Lyapunov-function method. Finally, the effectiveness of the proposed method is validated by the simulation and experimental results.

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Section: Introductionmentioning

confidence: 99%

Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control

Yao

Huang

Peng

et al. 2020

IEEE Trans. Power Electron.

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“…Compared with the off-line identification method, the online identification method of motor parameters not only estimates the state values of the motor in real time but also apply the values to the fault diagnosis method of the motor. For IPMSM, recursive least squares algorithm [21,22], model reference adaptive algorithm [23][24][25], extended Kalman filter algorithm [26,27], and neural network algorithm [28][29][30][31] are the most common online identification algorithms. The recursive least squares algorithm is often used in practice.…”

Section: Introductionmentioning

confidence: 99%

Research on Model Predictive Control of IPMSM Based on Adaline Neural Network Parameter Identification

2019

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This paper reports the optimal control problem on the interior permanent magnet synchronous motor (IPMSM) systems. The control performance of the traditional model predictive control (MPC) controller is ruined due to the parameter uncertainty and mismatching. In order to solve the problem that the MPC algorithm has a large dependence on system parameters, a method which integrates MPC control method and parameter identification for IPMSM is proposed. In this method, the d-q axis inductances and rotor permanent magnet flux of IPMSM motor are identified by the Adaline neural network algorithm, and then, the identification results are applied to the predictive controller and maximum torque per ampere (MTPA) module. The experimental results show that the optimized MPC control proposed in this paper has a good steady state and robust performance.

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“…Recently, some nonlinear and linear controllers of the complex control systems are proved to be successful in various areas [1][2][3]. Herein, permanent magnet synchronous motors (PMSMs), as one of the staple applications in the field of motor control, are widely used in high-precision controlled drive systems [4,5] owing to their simple structure, high power density, and excellent dynamic performance [6], for instance electric vehicles [7]. Therefore, high-performance control strategies are crucial for the smooth functioning of PMSMs.…”

Section: Introductionmentioning

confidence: 99%

A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output

Tian

Wang

et al. 2019

Electronics

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The performance of conventional direct torque control strategy from the viewpoint of flux and torque ripples has been unsatisfactory. Therefore, this study aims to propose a novel finite-control-set model predictive direct torque control strategy with extended output based on two-step prediction. An appropriate pre-selected vector, which is modulated in a specific manner, is selected through a look-up table and then used to optimise the pre-selected voltage vector based on the computing result from the model prediction and output it. The proposed strategy extends the range of the vectors that can be used to enhance the flux and torque control performance and reduce ripples and computational complexity in comparison with the conventional finite-control-set model predictive direct torque control. The feasibility of the proposed method is verified by conducting a verification test using dSPACE and Tyhpoon HIL 402 experimental platform.

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Sensorless PMSM Drive Based on Stator Feedforward Voltage Estimation Improved With MRAS Multiparameter Estimation

Cited by 201 publications

References 40 publications

Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control

Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control

Research on Model Predictive Control of IPMSM Based on Adaline Neural Network Parameter Identification

A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output

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