High-speed sensorless control of a synchronous reluctance motor based on an Extended Kalman Filter

Nguyen, Duc-Quan; Loron, Luc; Dakhouche, K.

doi:10.1109/epe.2015.7309339

Cited by 10 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The stable operation of a motor under heavier load and high speed is a key issue that needs to be solved, and accordingly, its successful application to electric vehicle (EV) driving is the major goal that is being pursued. The sensorless control approaches can be generally categorized into (i) observer-based methods, such as adaptive observers [15,16] and Kalman filter observers [17], (ii) extended back-electromotive force (back-EMF) methods [18][19][20], and (iii) methods based on rotor saliency [21][22][23][24][25][26][27], such as the high-frequency injection (HFI) approach, which is a typical method of this type.…”

Section: Introductionmentioning

confidence: 99%

A Highly-efficiency Position Sensorless Electric Vehicle Synchronous Reluctance Motor Drive

Kumar¹,

Lu²,

Liaw³

2021

JEPT

View full text Add to dashboard Cite

The development of high-efficiency motor drives for various applications is important in the industry 4.0 era, especially for their extensive application to electric vehicles (EVs). In this study, a position sensorless EV synchronous reluctance motor (SynRM) drive has been developed, which exhibits good driving performance and efficiency over a wide speed and load range. To solve the key problems popularly encountered in the existing approaches, the high-frequency injection (HFI) scheme based on q-axis injection has been proposed. In addition, the changed-frequency injection has been adopted considering the effects of speed/load dependent slotting ripple current. Robust observed speed and position controllers have been added to enhance the sensorless control performance. For the SynRM basic driving control scheme, robust current control and adaptive commutation with minimized motor losses have been achieved that yield satisfactory driving performance up to the rated speed and load. Good EV driving performance has been demonstrated experimentally, including starting, dynamic, acceleration/deceleration, and reversible operations. In addition, the steady-state characteristics have been assessed, and the high efficiencies have been observed to be comparable to the standard drive.

show abstract

Section: Introductionmentioning

confidence: 99%

A Highly-efficiency Position Sensorless Electric Vehicle Synchronous Reluctance Motor Drive

Kumar¹,

Lu²,

Liaw³

2021

JEPT

View full text Add to dashboard Cite

show abstract

“…EKF is considered very proper for the systems with parameters variation and noisy measurements. EKF has been extensively employed for sensorless control of PMSMs/IMs and SynRM as in [28][29][30][31]. The EKF based on parameter identification method for synchronous motor and IPMSM has been described in [32,33].…”

Section: Introductionmentioning

confidence: 99%

Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

et al. 2020

View full text Add to dashboard Cite

In this paper, a simplified efficient method for sensorless finite set current predictive control (FSCPC) for synchronous reluctance motor (SynRM) based on extended Kalman filter (EKF) is proposed. The proposed FSCPC is based on reducing the computation burden of the conventional FSCPC by using the commanded reference currents to directly calculate the reference voltage vector (RVV). Therefore, the cost function is calculated for only three times and the necessity to test all possible voltage vectors will be avoided. For sensorless control, EKF is composed to estimate the position and speed of the rotor. Whereas the performance of the proposed FSCPC essentially necessitates the full knowledge of SynRM parameters and provides an insufficient response under the parameter mismatch between the controller and the motor, online parameter estimation based on EKF is combined in the proposed control strategy to estimate all parameters of the machine. Furthermore, for simplicity, the parameters of PI speed controller and initial values of EKF covariance matrices are tuned offline using Particle Swarm Optimization (PSO). To demonstrate the feasibility of the proposed control, it is implemented in MATLAB/Simulink and tested under different operating conditions. Simulation results show high robustness and reliability of the proposed drive.

show abstract

Design and Experimental Evaluation of a 12 kW Large Synchronous Reluctance Motor and Control System for Elevator Traction

Mao²,

Fan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Recently, a new type of motor, synchronous reluctance motor (SRM), has attracted wide attention from academia and industry because of its potential applications in fans, pumps, and elevator traction systems. Compared with traditional motors, these motors have lower eddy-current loss, less torque ripple, reduced noise, smaller moment of inertia, and faster dynamic response, and they provide a greater operating efficiency and safety and are simpler and easier to maintain. However, the ontology design and operation control of SRMs continue to be significant hurdles that must be overcome prior to practical implementation. In order to facilitate the practical application of SRMs in industry, at the invitation of an elevator company, we designed a large SRM for elevator traction. Herein, we describe the design of the proposed system and present a theoretical analysis of the system. Furthermore, we fabricate a real prototype and the corresponding control system and perform an experimental test under the rated operating conditions and 1.5× overload conditions in order to verify the SRM's performance. The results of the experimental testing were satisfactory and consistent with the theoretical calculations. At present, we have entered the stage of small-batch trial production and we expect to ultimately implement this novel design. Further, the approach to ontology design and operation control in this study can be used to inform the future development of novel SRMs.

show abstract

High-speed sensorless control of a synchronous reluctance motor based on an Extended Kalman Filter

Cited by 10 publications

References 9 publications

A Highly-efficiency Position Sensorless Electric Vehicle Synchronous Reluctance Motor Drive

A Highly-efficiency Position Sensorless Electric Vehicle Synchronous Reluctance Motor Drive

Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

Design and Experimental Evaluation of a 12 kW Large Synchronous Reluctance Motor and Control System for Elevator Traction

Contact Info

Product

Resources

About