• Title/Summary/Keyword: Constant torque control

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Neural network based direct torque control for doubly fed induction generator fed wind energy systems

  • Aftab Ahmed Ansari;Giribabu Dyanamina
    • Advances in Computational Design
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    • v.8 no.3
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    • pp.237-253
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    • 2023
  • Torque ripple content and variable switching frequency operation of conventional direct torque control (DTC) are reduced by the integration of space vector modulation (SVM) into DTC. Integration of space vector modulation to conventional direct torque control known as SVM-DTC. It had been more frequently used method in renewable energy and machine drive systems. In this paper, SVM-DTC is used to control the rotor side converter (RSC) of a wind driven doubly-fed induction generator (DFIG) because of its advantages such as reduction of torque ripples and constant switching frequency operation. However, flux and torque ripples are still dominant due to distorted current waveforms at different operations of the wind turbine. Therefore, to smoothen the torque profile a Neural Network Controller (NNC) based SVM-DTC has been proposed by replacing the PI controller in the speed control loop of the wind turbine controller. Also, stability analysis and simulation study of DFIG using process reaction curve method (RRCM) are presented. Validation of simulation study in MATLAB/SIMULINK environment of proposed wind driven DFIG system has been performed by laboratory developed prototype model. The proposed NNC based SVM-DTC yields superior torque response and ripple reduction compared to other methods.

Radial Force Control of a Novel Hybrid Pole BLSRM

  • Wang, Hui-Jun;Lee, Dong-Hee;Ahn, Jin-Woo
    • Journal of Power Electronics
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    • v.9 no.6
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    • pp.845-853
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    • 2009
  • This paper presents a novel hybrid pole BLSRM (Bearingless Switched Reluctance Motor) and its radial force control scheme. The proposed hybrid pole BLSRM has separated radial force poles and rotating torque poles. According to the FEM analysis, the proposed BLSRM has an excellent linear characteristic of radial force and controllability that is independent from the torque current. The radial force can be produced by the radial force winding which is wound at the separated radial force poles. The rotating torque is produced by the excitation current of the torque windings which are wound at the torque pole. The proposed radial force control scheme is independent of the phase torque winding current. A simple PID controller and look-up table are used to maintain a constant rotor air-gap. The proposed BLSRM and its radial force control scheme are verified by FEM analysis and experimental tests.

A High Performance Torque Control of PMSM using DTC-PWM Method (PMSM의 DTC-PWM 방식에 의한 고성능 토크 제어)

  • Wang, Huijun;Lee, Sang-Hun;Lee, Dong-Hee;Ahn, Jin-Woo
    • Proceedings of the KIPE Conference
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    • 2007.07a
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    • pp.16-18
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    • 2007
  • In this paper, an advanced DTC(Direct Torque Control) scheme for PMSM(Permanent Magnet Synchronous Motor) is presented. The proposed DTC method uses a conventional torque estimator and torque error. But the switching signal is generated by PWM method according to the switching rules and torque error. A simple calculation of PMW without any complex determination of space vector can assure the constant switching frequency with an excellent control performance. The proposed torque control scheme for PMSM is verified by computer simulation.

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Analysis of Estimated Position Error by Magnetic Saturation and Compensating Method for Sensorless Control of PMSM (자속 포화에 의한 PMSM 센서리스 위치 추정 오차 분석 및 보상 기법)

  • Park, Byung-Jun;Gu, Bon-Gwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.3
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    • pp.430-438
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    • 2019
  • For a pump or a compressor motor, a high periodic load torque variation is induced by the mechanical works, and it causes system vibration and noise. To minimize these problems, load torque compensation method, injecting periodic torque current, could be utilized. However, with the sensorless control method, which is usually utilized in the pump and compressor for low cost, the periodic torque current degrades the accuracy of the rotor position estimation owing to the inductance variation. This paper analyzes the rotor position and speed estimation error of sensorless control method with constant motor parameters under period loading. Assuming the constant speed by the accurate load torque compensation, the speed error equation is derived in frequency domain with inductance depending on the stator current. Further, it is also shown that the rotor position error could be minimized by compensating the inductance variation. The simulation and experimental results verify that the derived speed error model and the validity of the inductance compensation method.

Torque Ripple Reduction Method of SRM Drives Using Neural Network Technique (신경회로망기법을 이용한 SRM 드라이브의 토오크리플 저감방안)

  • Lee, Seong-Du;Jung, Tae-Uk;Ahn, Jin-Woo;Hwang, Young-Moon
    • Proceedings of the KIEE Conference
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    • 1997.07a
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    • pp.227-229
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    • 1997
  • The torque of SRM is developed by phase currents and inductance variation. The inductance of torque generation region is nonlinearly varied according to phase current. By this nonlinear characteristics, torque ripple can be generated on the condition of constant current. Otherwise, phase current should be controlled instantaneously in accordance with inductance to reduce torque ripple. In this paper, the control system with neural network that can reduce torque ripple is suggested. In this control system, instantaneous inductance and optimal current waveform for smallest torque ripple is obtained by neural network. And this required optimal current waveform is regulated by voltage control.

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A Direct Torque Control Characteristics of SRM using PWM Approach (PWM 기법을 적용한 SRM의 직접토크 제어 특성)

  • Lee, Dong-Hee;Wang, Huijun;Ahn, Jin-Woo
    • The Transactions of the Korean Institute of Power Electronics
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    • v.13 no.3
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    • pp.179-185
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    • 2008
  • In this paper, an advanced torque control scheme of SRM using DITC(Direct Instantaneous Torque Control) and PWM(pulse width modulation) is presented. Different from conventional DITC method, proposed method uses one or two switching modes at every sampling time, instead of only one switching mode. The duty ratio of the phase switch is regulated according to the torque error and simple control rules of DITC. Moreover the sampling time of control can be extended, which allows implementation on low cost micro-controllers. A simple calculation of PWM can assure a constant switching frequency with an excellent control performance. The proposed control method is verified by the simulations and experimental results.

Nonlinear and Adaptive Back-Stepping Speed Control of IPMSM (IPMSM 전동기의 비선형 적응 백스텝핑 속도 제어)

  • Jeon, Yong-Ho;Cho, Whang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.855-864
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    • 2011
  • In this paper, a nonlinear controller based on adaptive back-stepping method is proposed for high performance operation of IPMSM(Interior Permanent Magnet Synchronous Motor). First, in order to improve the performance of speed tracking a nonlinear back-stepping controller is designed. Since it is difficult to control the high performance driving without considering parameter variation, a parameter estimator is included to adapt to the variation of load torque in real time. In addition, for the efficiency of power consumption of the motor, controller is designed to operate motor with minimum current for maximum torque. The proposed controller is applied through simulation to the a 2-hp IPMSM for the angular velocity reference tracking performance and load torque volatility estimation, and to test the MTPA(Maximum Torque per Ampere) operation in constant torque operation region. The result verifies the efficacy of the proposed controller.

Control of Rotational Angular Speed using Magneto-rheological Fluid (자기유변유체를 이용한 회전 각속력 제어)

  • 신성철;정재성;김정훈;이종원
    • The Korean Journal of Rheology
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    • v.11 no.2
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    • pp.67-72
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    • 1999
  • A magneto-rheological(MR) fluid based rotary loading and braking device is developed. The loading and braking forces of the device are accurately adjustable by controlling the yield stress of MR fluid, so that the vibration control, the precision position control and the speed control of rotating machines equipped with the device can be achieved. As an engineering application, constant rotational speed regulation is conducted using the device manufactured in laboratory, introducing PI control action not only with varying torque due to gravitation, with initial angular speed, but also with constant external torque made by hand. To do this, first, mathematical model was obtained via experiments. And then, simulation was carried out, based on the experimentally identified model. Its result was confirmed through experiment. It is identified by simulation and experimental results that PI action leads to satisfactory control performance in both cases that varying torque due to gravitation, with initial angular speed, and constant external torque are applied.

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Sensorless Field Oriented control Modeling for Constant Speed Induction motor (정속도 운전을 위한 유도 전동기 센서리스 벡터제어 시스템 모델링)

  • 황재호;이학주;안재황;성세진
    • Proceedings of the KIPE Conference
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    • 1998.07a
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    • pp.376-379
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    • 1998
  • This paper be described the constant speed control of induction motor for high performance. Vector control system which is used the stator current, voltage of IM is modeled without the speed, flux sensor. The proposed control system be simulated using Matlab with Simulink. Results include the fast response of the constant speed and torque in proposed system. For high performance, this paper presents the robust characteristics of field oriented control system for IM.

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A Study on the Neural Adaptive Observer for I.M. Drives (유도전동기 구동을 위한 신경망 적응 관측기에 대한 연구)

  • Jeon, Hi-Jong;Kim, Beung-Jin;Son, Jin-Geun;Jeong, Eull-Gi;Kim, Jin-Sang
    • Proceedings of the KIEE Conference
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    • 1995.07a
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    • pp.216-218
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    • 1995
  • In this article a neural network adaptive observer is proposed and applied to the case of induction motor control. The high performance vector control drives require exact knowledge of rotor flux. Because rotor time constant is needed to observe rotor flux, the accurate estimation of rotor time constant is important. For these problems, proposed observer which comprises neural network flux observer and neural network torque observer is trained to learn the flux dynamics and torque dynamics and subject to further on-line training by means of a backpropagation algorithem. Therefore it has been shown that the robust control of induction motor neglects the rotor time constant variations.

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