Predictive Direct Control Applied to AC Drives and Active Power Filter

Drobnic, Klemen; Nemec, Mitja; Nedeljkovic, D.; Ambrozic, V.

doi:10.1109/tie.2009.2015749

Cited by 73 publications

(32 citation statements)

References 32 publications

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“…Among them, field oriented control (FOC) for SPMSM drives has reached industrial application maturity. FOC requires coordinate transforms and space-vector pulse width modulation (SVPWM), through which the flux and torque of AC machines are controlled independently [1][2][3][4][5]. In order to eliminate these requirements, direct torque control (DTC) was proposed as a powerful alternative [6,7].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park

Wang

2018

Energies

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Abstract:The demand for sensorless control of surface-mounted permanent magnet synchronous motor drives has grown rapidly. Among various sensorless control techniques developed, Matsui's current model-based approach and the extended Kalman filter approach have gained much attention. However, the performance of these control methods can be severely worsened or may even become unstable under strong disturbances or sensing failures. This paper presents a comparative study of the extended Kalman filter, the resilient extended Kalman filter, and the unscented Kalman filter-based sensorless direct torque and flux control approaches for the surface-mounted permanent magnet synchronous motor drives. Computer simulation studies and hardware implementation results have shown the efficiency and superior performance of the resilient extended Kalman filter and the unscented Kalman filter over the traditional extended Kalman filter for sensorless direct torque control applications.

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Section: Introductionmentioning

confidence: 99%

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park

Wang

2018

Energies

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“…Based on the finite control set of the converter, model predictive control (MPC) selects the output switch state to optimize the cost function. It features good dynamic performance, but it is also a challenge to the control system because of a large computation requirement [30][31][32]. However, developments in digital signal processing will contribute to the scale of application of MPC.…”

Section: Active Control Technologymentioning

confidence: 99%

Overview of power quality analysis and control technology for the smart grid

Luo

et al. 2016

J. Mod. Power Syst. Clean Energy

106

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With the wide application of non-linear loads and the large-scale access of distributed energy generations based on power electronics equipments, power quality problems in the distribution network are increasingly serious with new characteristics. Further in-depth research is of great significance in theory and practice. This paper provides an overview of power quality analysis, compensators, and control technologies under the new situation of smart grid. It focuses on the topologies and control methods for power quality conditioners, especially new characteristics of power quality and applicable control technologies in microgrids and distributed power plants. Finally, trends and prospects of power quality control technology are introduced, which is important to achieve security and efficient operation of the smart grid.

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“…Variant types of this control strategy have been used for power conversion and motor drive control that mainly associated with modulation techniques [7][8][9][10][11]. The application of this family of nonlinear control techniques for torque and flux control in induction machines (IMs) has received attention from researchers due to the technique's qualities of fast dynamic torque response, low torque ripple, and reduced switching frequency [12][13][14]. Predictive method was also used to control of PM synchronous machine [15] An alternative technique for controlling the torque and flux of an IM based on state space models has also been investigated [16].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study Between Direct Torque Control and Predictive Torque Control for Axial Flux Permanent Magnet Synchronous Machines

Siami¹,

Gholamian²,

Yousefi³

2013

Journal of Electrical Engineering

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This paper presents a comparative study between direct torque control (DTC) and predictive torque control (PTC) of Axial Flux Permanent magnet Machines (AFPM). In conventional DTC method for permanent magnet machines, only six actives voltage vectors of inverter are used to control torque and flux of machine. But in predictive torque control, in addition to six active voltage vectors, zero voltage vectors are used to control machine. So number of voltage vectors to control AFPM increases that leads to lower ripple of torque and flux. In predictive torque control, the response of torque and flux are computed for all possible switching states of inverter at every sample time according to discrete time model of machine, and then the switching state that optimizes ripple of torque and flux, will be applied in next discrete-time interval. Simulation results which compare the results of implementation of both methods and confirm the good performance of the proposed predictive torque control are presented.

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Predictive Direct Control Applied to AC Drives and Active Power Filter

Cited by 73 publications

References 32 publications

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Overview of power quality analysis and control technology for the smart grid

A Comparative Study Between Direct Torque Control and Predictive Torque Control for Axial Flux Permanent Magnet Synchronous Machines

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