A Novel MRAS Based Speed Sensorless Vector Controlled PMSM Drive

Badini, Sai Shiva; Verma, Vimlesh

doi:10.1109/upec.2019.8893607

Cited by 25 publications

(9 citation statements)

References 20 publications

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“…Many researchers use MRAS as the basis for estimation [32][33][34][35]. Besides, several investigators modified MRAS to reduce MRAS weakness [37][38][39][40][41]. Until now, EKF and SMO are still used in the sensorless control system.…”

Section: Discussionmentioning

confidence: 99%

Some Permanent Magnet Synchronous Motor (PMSM) Sensorless Control Methods based on Operation Speed Area

Harini

2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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This paper compares some sensorless Permanent Magnet Synchronous Motor (PMSM) controls for driving an electric vehicle in terms of operating speed. Sensorless control is a type of control method in which sensors, such as speed and position sensors, are not used to measure controlled variables. The controlled variable value is estimated from the stator current measurement. Sensorless control performance is not as good as a sensor-based system. This paper aims are to recommend a control method for the PMSM sensorless controls that would be used to drive an electric vehicle. The methods that we will discuss are divided into four categories based on the operation speed area. They are a startup, low speed, high speed, and low and high-speed areas. The low and high-speed area will be divided into with and without switching. If PMSM more work at high speed, the most speed area that is used, we prefer to choose the method that works at high speed, that is, the modification or combination of two or more conventional methods.

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Section: Discussionmentioning

confidence: 99%

Some Permanent Magnet Synchronous Motor (PMSM) Sensorless Control Methods based on Operation Speed Area

Harini

2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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“…The use of an estimated system to determine stator d-q axis currents and rotor speed is a result of incorporating the inaccuracies associated with these two variables into the adaptation process. The foundational ideas of a reference model and an adaptive model serve as the basis for the MRAS approach [24]. The mathematical representation of the d-q axis currents of PMSM may be presented as a reference model.…”

Section: Model Reference Adaptive System Designmentioning

confidence: 99%

Active Disturbance Rejection Control Based Sensorless Model Predictive Control for PMSM

Dahnoun,

Bourek,

Ammar

et al. 2024

JESA

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Improving tracking performance in speed controllers for permanent-magnet synchronous motor (PMSM) drive systems is critical due to internal challenges such as parameter variations, model uncertainty, and external disturbances like load changes. This paper proposes a new method that combines sensorless model predictive control (MPC) with active disturbance rejection control (ADRC), employing an extended state observer (ESO) as a key component of the ADRC. Notably, the proposed ADRC-MPC control integrates the advantages of MPC, such as good time response, high robustness against load variation, and a low effect of parameter variation in comparison to conventional control methods like field-oriented control (FOC). The ADRC-MPC reduces torque and flux ripples and also reduces torque and flux irregularities as well as current harmonics, which presents a major drawback in direct torque control (DTC). The proposed control with finite set model predictive control (FS-MPC) eliminates the PWM modulation and the complexity of continuous control set model predictive control (CCS-MPC). In the outer loop, the ADRC-MPC and the ESO present a very good solution. It presents a lower processing requirement than other controllers, especially the fuzzy logic controller (FLC), and also presents a consistent dynamic behavior across the entire operating range, contrary to the PID. The ADRC with ESO presents a promising solution to these challenges. The effectiveness of the proposed method is demonstrated through numerical simulations using MATLAB/Simulink software and experiments on a 3-kW surface-mounted PMSM drive system. both simulation and experimental results under different conditions show the effectiveness of the proposed approach.

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“…The expression for adjustable and reference model for MRAS is considered form [47], [54], [66], [68]. The Fictitious-Quantity (Y) is expressed in (17) with reference voltages and estimated currents as shown in (21).…”

Section: B Speed Estimation Techniquementioning

confidence: 99%

Single Current Sensor-Based Speed Sensorless Vector Controlled PMSM Drive

et al. 2023

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Single current sensor-based speed sensorless vector controlled PMSM ("Permanent Magnet Synchronous Motor") drive is presented in this paper. Speed, position, and currents are estimated using single current sensor information of 3-Ф PMSM drive. 2-Ф currents in the 𝑑𝑞 − 𝑎𝑥𝑒𝑠 are calculated and closed in the loop using 𝑖 * and a phase current information obtained from the single current sensor. The proposed method applies to all types of 3-Ф PMSM; current estimation is independent of machine parameters and inverter switching states. Drive is made speed and position sensorless by estimating using Y-MRAS (Model Reference Adaptive System). Y-MRAS is developed using reference voltages and estimated currents. The speed estimator depends on stator resistance; any variation in it will affect the drive performance. So, stator resistance needs to be estimated online and compensated in the speed estimation technique. Modified P-MRAS technique is used for stator resistance estimation. Here, the drive performance is also validated under stator resistance variation and its compensation. The proposed drive is independent of switching states, integrator terms, and differentiator terms. The single sensor drive reduces the overall cost of the drive and can be implemented into the existing system for sensor condition monitoring and to make the drive fault tolerant against the sensor failure without any extra hardware. The proposed single sensor-based drive is theoretically-modeled and simulated in the MATLAB/SIMULINK platform. The stability of the proposed drive is verified through a stability analysis. It is experimentally validated using a laboratory-developed PMSM drive prototype with a dSPACE-1104 controller board.

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A Novel MRAS Based Speed Sensorless Vector Controlled PMSM Drive

Cited by 25 publications

References 20 publications

Some Permanent Magnet Synchronous Motor (PMSM) Sensorless Control Methods based on Operation Speed Area

Some Permanent Magnet Synchronous Motor (PMSM) Sensorless Control Methods based on Operation Speed Area

Active Disturbance Rejection Control Based Sensorless Model Predictive Control for PMSM

Single Current Sensor-Based Speed Sensorless Vector Controlled PMSM Drive

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