A robust control of permanent magnet synchronous motor using load torque estimation

Kim, Mun-Soo; Song, Dall-Sup; Lee, Yong-Kil; Won, Tae-Hyun; Park, Han-Woong; Jung, Yong-Il; Lee, Man Hyung; Lee, H.

doi:10.1109/isie.2001.931642

Cited by 17 publications

(8 citation statements)

References 7 publications

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“…The mathematical model of the SMPM is given in a number of papers [4][5][6]. The linearized mathematical model of SMPM as a control plant, necessary for the synthesis, is given by the authors in [7].…”

Section: The Materials Presentation and Its Resultsmentioning

confidence: 99%

Hinf Robust Control of Permanent-Magnet Synchronous Motors Stability and Performance

Rudnev

Gritsyuk

Morozov

2019

ELTECS

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Section: The Materials Presentation and Its Resultsmentioning

confidence: 99%

Hinf Robust Control of Permanent-Magnet Synchronous Motors Stability and Performance

Rudnev

Gritsyuk

Morozov

2019

ELTECS

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“…In order to design the control system with a feedforward load torque compensation, a nonmeasured load torque should be estimated with the help of the observer. The discrete state equation that describes the dynamics of the system takes the following form (Mun-Soo et al, 2001):…”

Section: Load Torque Observermentioning

confidence: 99%

“…This performance can be improved with the help of the feedforward compensation (Iwasaki et al, 2012). Although, load torque is nonmeasurable variable in a typical motion system, it can be estimated with the help of the disturbance observer (Mun-Soo et al, 2001). Proper feedforward compensation requires suitable formula depends on control algorithm used.…”

Section: Introductionmentioning

confidence: 99%

Control System with State Feedback and NN based Load Torque Feedforward for PMSM with LC Filter Fed by 3-Level NPC Inverter

Grzesiak¹,

Tarczewski²

2013

Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics

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This paper presents designing process of the control system with discrete state feedback and neural network based load torque feedforward for permanent magnet synchronous motor fed by true sine wave 3-level neutral point clamped inverter with an output LC filter. Our main objective is to reduce the effect of load torque changes and to improve dynamic behaviour of the motor during load changing. The full state feedback algorithm has been chosen to control the angular velocity of the motor and to provide true sine wave of the input motor voltages. It was found that gains of the controller and feedforward path are nonstationary and depends on the angular velocity. In such a case linearization and decoupling process of the motor with LC filter is not needed. Simulation results (at the level of 3kW) illustrate the proposed approach. 2 MATHEMATICAL MODEL OF AN ELECTROMECHANICAL SYSTEM Considered control system consists of: discrete state feedback controller with neural network feedforward path, 3-level NPC inverter with an output LC filter,

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“…This performance can be improved with the help of the feedforward compensation [4]. Although, load torque is non-measurable variable in a typical motion system, it can be estimated with the help of the disturbance observer [5]. Proper disturbance compensation by using the feedforward path requires suitable formula depends on control algorithm applied [6].…”

Section: Introductionmentioning

confidence: 99%

State Feedback Control with ANN Based Load Torque Feedforward for PMSM Fed by 3-Level NPC Inverter with Sinusoidal Output Voltage Waveform

Grzesiak

Tarczewski

2014

Informatics in Control, Automation and Robotics

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The approach presented in this work focuses on the full state feedback algorithm designed to control the angular velocity of the PMSM and to provide true sine wave of the 3-level neutral point clamped inverter output voltages. Artificial neural network based feedforward path was introduced into control system in order to improve dynamic behaviour of the PMSM during load changing and to reduce the effect of load torque changes. It was shown that gains of the designed controller and feedforward path are non-stationary and depends on the angular velocity. The simulation results demonstrate the advantages of the proposed approach with comparison to state feedback control system without feedforward path.Keywords State feedback controller · Artificial neural network · Load torque feedforward · 3-level neutral point clamped inverter · LC filter · Permanent magnet synchronous motor · Disturbance observer IntroductionArtificial neural networks (ANN) have been playing an important role in a motion control systems. Thanks to the universal approximation property, ANNs are successfully used for: friction modeling and compensation [1], dead zone function estimation and compensation [2] as well as adaptive control [3].

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A robust control of permanent magnet synchronous motor using load torque estimation

Cited by 17 publications

References 7 publications

Hinf Robust Control of Permanent-Magnet Synchronous Motors Stability and Performance

Hinf Robust Control of Permanent-Magnet Synchronous Motors Stability and Performance

Control System with State Feedback and NN based Load Torque Feedforward for PMSM with LC Filter Fed by 3-Level NPC Inverter

State Feedback Control with ANN Based Load Torque Feedforward for PMSM Fed by 3-Level NPC Inverter with Sinusoidal Output Voltage Waveform

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