A simplified three-level SVM-DTC induction motor drive with speed and stator resistance estimation based on extended Kalman filter

Usta, Mehmet Ali; Okumuş, Halil İbrahim; Kahveci, Hakan

doi:10.1007/s00202-016-0442-x

Cited by 23 publications

(16 citation statements)

References 21 publications

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“…More recently, EKF‐based flux estimation algorithm was incorporated in NPC‐SVM‐DTC algorithm (Fig. 22) to regulate flux estimation at low speed under the influence of parameter variations and load disturbances [120].…”

Section: Dtc Using Special Convertersmentioning

confidence: 99%

Review of recent advancements of direct torque control in induction motor drives – a decade of progress

Kumar

Iqbal

Lenin

2018

IET Power Electronics

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Since the invention of direct torque control (DTC) in later 1980s for alternating current (AC) motor drives, it has undergone many modifications to improve the control strategy. This study provides a comprehensive review of recent advancements of DTC of induction motor (IM) for the past one decade. Strategies adopted to improve the performance of DTC based on switching table, constant switching frequency operation, intelligent control, sensorless control and predictive control are extensively discussed with its key results and algorithms.

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Section: Dtc Using Special Convertersmentioning

confidence: 99%

Review of recent advancements of direct torque control in induction motor drives – a decade of progress

Kumar

Iqbal

Lenin

2018

IET Power Electronics

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“…The angle θ s is given by T xk2 T xk3 T xk4 T xk5 T xk6 T xk7 T xk8 41 1 1 1 0 0 0 0 v c3 +v c4 30 1 1 1 1 0 0 0 v c3 20 0 1 1 1 1 0 0 (14) This method of estimating the stator flux has the advantage of simplicity and accuracy, particularly at medium and high speeds where the ohmic voltage drop becomes negligible [17].…”

Section: Direct Torque Control Based On Neural Networkmentioning

confidence: 99%

Improved Direct Torque Control Based on Neural Network of the Double-Star Induction Machine Using Deferent Multilevel Inverter

Lazreg¹,

Bentaallah²

2021

Direct Torque Control Strategies of Electrical Machines

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In this chapter, we will compare the performance of a multilevel direct torque control (DTC) control for the double-star induction machine (DSIM) based on artificial neural network (ANN). The application of DTC control brings a very interesting solution to the problems of robustness and dynamics. However, this control has some disadvantages such as variable switching frequency, size, and complexity of the switching tables and the strong ripple torque. A solution to this problem is to increase the output voltage level of the inverter and associate the DTC control with modern control techniques such as artificial neural networks. Theoretical elements and simulation results are presented and discussed. As results, the flux and torque ripple of the five-level DTC-ANN control significantly reduces compared to the flux and torque ripple of the three-level DTC-ANN control. By viewing the simulation results using MATLAB/Simulink for both controls, the results obtained showed a very satisfactory behavior of this machine.

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“…From (11) it can be seen that the system is non-linear as X and K are now the states of the augmented system and hence the Extended Kalman Filter (EKF) [23,24] is used to compute the updates of the augmented state vector X a .…”

Section: Kalman Estimatormentioning

confidence: 99%

Optimal load frequency control through combined state and control gain estimation for noisy measurements

Pillai

Samuel

Unnikrishnan

2020

Prot Control Mod Power Syst

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Combined estimation of state and feed-back gain for optimal load frequency control is proposed. Load frequency control (LFC) addresses the problem of controlling system frequency in response to disturbance, and is one of main research areas in power system operation. A well acknowledged solution to this problem is feedback stabilization, where the Linear Quadratic Regulator (LQR) based controller computes the feedback gain K from the known system parameters and implements the control, assuming the availability of all the state variables. However, this approach restricts control to cases where the state variables are readily available and the system parameters are steady. Alternatively, by estimating the states continuously from available measurements of some of the states, it can accommodate dynamic changes in the system parameters. The paper proposes the technique of augmenting the state variables with controller gains. This introduces a non-linearity to the augmented system and thereby the estimation is performed using an Extended Kalman Filter. This results in producing controller gains that are capable of controlling the system in response to changes in load demand, system parameter variation and measurement noise.

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A simplified three-level SVM-DTC induction motor drive with speed and stator resistance estimation based on extended Kalman filter

Cited by 23 publications

References 21 publications

Review of recent advancements of direct torque control in induction motor drives – a decade of progress

Review of recent advancements of direct torque control in induction motor drives – a decade of progress

Improved Direct Torque Control Based on Neural Network of the Double-Star Induction Machine Using Deferent Multilevel Inverter

Optimal load frequency control through combined state and control gain estimation for noisy measurements

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