Predictive Stator Flux and Load Angle Control of Synchronous Reluctance Motor Drives Operating in a Wide Speed Range

Hadla, Hazem; Cruz, Sérgio M. A.

doi:10.1109/tie.2017.2688971

Cited by 47 publications

(27 citation statements)

References 31 publications

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“…Furthermore, the absence of the rotor windings and magnetic material results in higher energy efficiency and simple field weakening capability [4]. Traditionally, two widespread methods are preferred for SynRM drives: field-oriented control (FOC) and direct torque control [5]. FOC gives good steady-state response and is robust to variations of the machine parameters.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…This method has brought major benefits over PID and hysteresis controllers, which made it attractive for power electronics [21,22]. Myriads of studies have been undertaken in these fields; particularly for control of electric motors [22][23][24][25][26]. In the prior literature, the state model of PMSMs in the stationary reference frame [24] and rotor reference frame [25,26] have been analysed.…”

Section: Introductionmentioning

confidence: 99%

Model predictive combined vector and direct torque control of SM‐PMSM with MTPA and constant stator flux magnitude analysis in the stator flux reference frame

Heidari

2020

IET Electric Power Applications

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This study presents a combined vector and direct torque control (CVDTC) for surface‐mounted permanent magnet synchronous motor (SM‐PMSM). The CVDTC method has a fast dynamic torque response without requiring any conventional PWM signal‐generators. Besides, it provides low‐speed control and standstill operation, torque and flux ripple reduction, minor switching frequency variations, and low computational burden. In this study, CVDTC is mathematically analysed in the stator flux reference frame and then both DTC and CVDTC are simulated and compared for SM‐PMSMs. To further reduce torque and flux ripple, model predictive combined vector and direct torque control (MPCVDTC) with the finite control set is analysed and proposed in the stator flux reference frame. Moreover, maximum torque per ampere (MTPA) and constant stator flux magnitude analysis for SM‐PMSM are explored in the stator flux reference frame. Simulation and experimental results substantiate the effectiveness and performance of the CVDTC and MPCVDTC methods over a vast speed range.

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“…Thus, a weighting factor is required to adjust the influence of flux or torque on the value of the cost function. Also, it is very important to select a suitable weighting factor, otherwise the control effect on torque and flux will go worse [4][5][6]. To simplify the weighting factor selection online, different approaches are proposed.…”

Section: Introductionmentioning

confidence: 99%

Simplified predictive torque control for permanent magnet synchronous motor with discrete duty cycle control

Xiao

Shi

Xia

2019

IET Electric Power Applications

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Here, a simplified predictive torque control strategy based on discrete duty cycle technology is proposed for the voltage source inverter permanent magnet synchronous motor drive system. Combining the discrete duty cycle technology, the candidate vectors are synthesised by two adjacent active vectors and zero vectors, and meanwhile, the duty cycles of the two adjacent active vectors and zero vectors are generated directly. Afterwards, an extended control set is constructed to improve the control accuracy of torque and flux. An inverted triangular matrix is constructed to store the duty cycle information, which corresponds to the row and column number of the elements. Also, the inverted triangle matrix is divided into three subregions according to the value of duty ratios. A cost function containing only the stator voltage vector error term is constructed and based on the geometric position of the reference voltage vector, the target region in the inverted triangle matrix is determined and the optimal vector is selected. So, the optimal vector prediction process and the duty cycle calculation process are combined into one, reducing the complexity of obtaining the optimal vector. Finally, the feasibility and effectiveness of the proposed algorithm are verified by experiments.

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Predictive Stator Flux and Load Angle Control of Synchronous Reluctance Motor Drives Operating in a Wide Speed Range

Cited by 47 publications

References 31 publications

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

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

Model predictive combined vector and direct torque control of SM‐PMSM with MTPA and constant stator flux magnitude analysis in the stator flux reference frame

Simplified predictive torque control for permanent magnet synchronous motor with discrete duty cycle control

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