• Title/Summary/Keyword: Speed Estimator

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Sensorless Sine-Wave Controller IC for PM Brushless Motor Employing Automatic Lead-Angle Compensation

  • Kim, Minki;Heo, Sewan;Oh, Jimin;Suk, Jung-Hee;Yang, Yil Suk;Park, Ki-Tae;Kim, Jinsung
    • ETRI Journal
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    • v.37 no.6
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    • pp.1165-1175
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    • 2015
  • This paper presents an advanced sensorless permanent magnet (PM) brushless motor controller integrated circuit (IC) employing an automatic lead-angle compensator. The proposed IC is composed of not only a sensorless sine-wave motor controller but also an isolated gate-driver and current self-sensing circuit. The fabricated IC operates in sensorless mode using a position estimator based on a sliding mode observer and an open-loop start-up. For high efficiency PM brushless motor driving, an automatic lead-angle control algorithm is employed, which improves the efficiency of a PM brushless motor system by tracking the minimum copper loss under various load and speed conditions. The fabricated IC is evaluated experimentally using a commercial 200 W PM brushless motor and power switches. The proposed IC is successfully operated without any additional sensors, and the proposed algorithm maintains the minimum current and maximum system efficiency under $0N{\cdot}m$ to $0.8N{\cdot}m$ load conditions. The proposed IC is a feasible sensorless speed controller for various applications with a wide range of load and speed conditions.

Speed and Flux Estimation for an Induction Motor Using a Parameter Estimation Technique

  • Lee Gil-Su;Lee Dong-Hyun;Yoon Tae-Woong;Lee Kyo-Beum;Song Joong-Ho;Choy Ick
    • International Journal of Control, Automation, and Systems
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    • v.3 no.1
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    • pp.79-86
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    • 2005
  • In this paper, an estimator scheme for the rotor speed and flux of an induction motor is proposed on the basis of a fourth-order electrical model. It is assumed that only the stator currents and voltages are measurable, and that the stator currents are bounded. There are a number of common terms in the motor dynamics, and this is utilized to find a simple error model involving some auxiliary variables. Using this error model, the state estimation problem is converted into a parameter estimation problem assuming that the rotor speed is constant. Some stability properties are given on the basis of Lyapunov analysis. In addition, the rotor resistance, which varies with the motor temperature, can also be estimated within the same framework. The effectiveness of the proposed scheme is demonstrated through computer simulations and experiments.

Using Closed Loop Flux Estimator The Sensorless Vector Control Of Induction Motor (폐루프 자속추정기를 이용한 철도차량의 유도 전동기 센서리스 벡터제어)

  • Jang, Jin-Hyog;Hwang, Lak-Hun;Cho, Moon-Taek
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1092-1099
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    • 2006
  • Displayed system equationally using accurate dynamic modeling of whole system including induction motor and load to analyze induction motor to normal condiction's action characteristic as well as transient characteristic using power converter device such as inverter in this paper. Also, presume adhesive power calculation through speed sensorless vector control and load torque disturbance observer for maximum tractive force control. Confirmed proposed algorithm through simulation and an experiment using railroad experiment equipment to embody control algorithm of such system. With relation of adhesive power about the wage speed by speed addition and subtraction of railway vehicle, embodied all sorts item by experiment equipment.

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Variation of Hydro-Meteorological Variables in Korea

  • Nkomozepi, Temba;Chung, Sang-Ok;Kim, Hyun-Ki
    • Current Research on Agriculture and Life Sciences
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    • v.32 no.3
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    • pp.135-143
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    • 2014
  • The variability and temporal trends of the annual and seasonal minimum and maximum temperature, rainfall, relative humidity, wind speed, sunshine hours, and runoff were analyzed for 5 major rivers in Korea from 1960 to 2010. A simple regression and non-parametric methods (Mann-Kendall test and Sen's estimator) were used in this study. The analysis results show that the minimum temperature ($T_{min}$) had a higher increasing trend than the maximum temperature ($T_{max}$), and the average temperature increased by about $0.03^{\circ}C\;yr.^{-1}$. The relative humidity and wind speed decreased by $0.02%\;yr^{-1}$ and $0.01m\;s^{-1}yr^{-1}$, respectively. With the exception of the Han River basin, the regression analysis and Mann-Kendall and Sen results failed to detect trends for the runoff and rainfall over the study period. Rapid land use changes were linked to the increase in the runoff in the Han River basin. The sensitivity of the evapotranspiration and ultimately the runoff to the meteorological variables was in the order of relative humidity > sunshine duration > wind speed > $T_{max}$ > $T_{min}$. Future studies should investigate the interaction of the variables analyzed herein, and their relative contributions to the runoff trends.

A Study on the Sensorless Speed Control of Induction Motor using Direct Torque Control (직접토크 제어를 이용한 유도전동기의 센서리스 속도제어에 관한 연구)

  • Yoon, Kyoung-Kuk;Oh, Sae-Gin;Kim, Jong-Su;Kim, Yoon-Sik;Lee, Sung-Gun;Kim, Sung-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.8
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    • pp.1261-1267
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    • 2009
  • The Direct Torque Control[DTC] controls torque and flux by restricting the flux and torque errors within respective hysteresis bands, and motor torque and flux are controlled by the stator voltage space vector using optimum inverter switching table. And the Current Error Compensation method is on the basis of compensating current difference between the induction motor and its numerical model, in which the identical stator voltage is supplied for both the actual motor and the model so that the gaps between stator currents of the two can be forced to decay to zero as time proceeds. Consequently, the rotor speed approaches to the model speed, namely, setting value and the system can control motor speed precisely. This paper proposes a new sensorless speed control of induction motor using DTC and Current Error Compensation, which requires neither shaft encoder, speed estimator nor PI controllers. And through computer simulation, confirm effectiveness of proposed method.

A Study on the Speed Sensorless Vector Control for Induction Motor Adaptive Control Method using a High Frequency Boost Chopper of Hybrid Type Piezoelectric Transformer (하이브리드형 압전 변압기의 고주파 승압 초퍼를 이용한 적응제어기법 유도전동기 속도 센서리스 벡터제어에 관한 연구)

  • Hwang, Lark-Hoon;Na, Seung-Kwon;Kim, Yeong-Wook;Choi, Song-Shik
    • Journal of Advanced Navigation Technology
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    • v.17 no.3
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    • pp.332-345
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    • 2013
  • In this paper, recently, it is described to the piezoelectric transformer technology develops, because it was have to favorable characteristics such as electromagnetic-noise free, compact size, higher efficiency, and superior power density, flux linkage, noiseless, etc. its resonance frequency was used to output waveform of a sine wave. A rotor speed identification method of induction motor based on the theory of flux model reference adaptive system(FMRAS). The estimator execute the rotor speed identification so that the vector control of the induction motor may be achieved. The improved auxiliary variable of the model are introduced to perform accurate rotor speed estimation. The control system is composed of the PI controller for speed control and the current controller using space voltage vector PWM techniuqe and DC-DC converter. High speed calculation and processing for vector control is carried out by digital signal one chip microprocessor. Validity of the proposed control method is verified through simulation and experimental results.

Precision Speed Control of PMSM Using Disturbance Observer and Parameter Compensator (외란관측기와 파라미터 보상기를 이용한 PMSM의 정밀속도제어)

  • 고종선;이택호;김칠환;이상설
    • The Transactions of the Korean Institute of Power Electronics
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    • v.6 no.1
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    • pp.98-106
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    • 2001
  • This paper presents external load disturbance compensation that used to deadbeat load torque observer and regulation of the compensation gain by parameter estimator. As a result, the response of PMSM follows that of the nominal plant. The load torque compensation method is compose of a dead beat observer that is well-known method. However it has disadvantage such as a noise amplification effect. To reduce of the effect, the post-filter, which is implemented by MA process, is proposed. The parameter compensator with RLSM(recursive least square method) parameter estimator is suggested to increase the performance of the load torque observer and main controller. Although RLSM estimator is one of the most effective methods for online parameter identification, it is difficult to obtain unbiased result in this application. It is caused by disturbed dynamic model with external torque. The proposed RLSM estimator is combined with a high performance torque observer to resolve the problems. As a result, the proposed control system becomes a robust and precise system against the load torque and the parameter variation. A stability and usefulness, through the verified computer simulation and experiment, are shown in this paper.

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A High-Performance Position Sensorless Control System of Reluctance Synchronous Motor with Direct Torque Control (직접토크제어에 의한 위치검출기 없는 리럭턴스 동기전동기의 고성능 제어시스템)

  • 김민회;김남훈;백원식
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.1
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    • pp.81-90
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    • 2002
  • This paper presents an Implementation of digital high-performance position sensorless control system of Reluctance Synchronous Motor(RSM) drives with Direct Torque Control(DTC). The system consists of stator flux observer, speed and torque estimator, two digital hysteresis controllers, an optimal switching look-up table, Insulated Gate Bipolar Transistor(IGBT) voltage source inverter, and TMS320C31 DSP board. The stator flux observer Is based on the combined voltage and current model with stator flux feedback adaptive control of which inputs are current and voltage sensed on motor terminal for wide speed range. In order to prove the suggested sensorless control algorithm for industrial field application, we have some simulation and actual experiment at low and high speed range. The developed high-performance speed control by fully digital system are shown a good response characteristic of control results and high performance features using 1.0[kW] RSM having 2.57 reluctance ratio of $L_d/L_q$.

Speed Control of IPMSM Using Nonlinear and Adaptive Back-Stepping Controller Including Integral Gain (적분 이득의 비선형 적응 백스텝핑 제어 기법을 적용한 IPMSM의 속도 제어)

  • Jung, Seung-Hwan;Choy, Ick;Jeon, Yong-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.6
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    • pp.881-889
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    • 2013
  • In this paper, a nonlinear and adaptive back-stepping control technique is proposed for a speed control of IPMSM(Interior Permanent Magnet Synchronous Motor). The gain of back-stepping controller(including integral value of the states error) is designed for stability of the system. In order to adapting fast in variation of load torque, the controller is including load torque estimator. The simulation is completed by using PSIM software. The simulation results show that the designed back-stepping controller make the system stable in the constant torque region, and has better tracking performance than a controller without the integral gain.

The High Efficiency Operating Characteristics of the Induction Motor for Extended Range Electric Vehicle Applications (확장영역 전기자동차 응용을 위한 유도전동기의 고효율 운전 특성)

  • Ryu, Doo-young;Shon, Jin-geun;Jeon, Hee-jong;Choi, Uk-don
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.4
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    • pp.273-279
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    • 2016
  • In this paper, a high-performance control of the induction motor for electric car was implemented to escape dependence of the rare earth magnet. Proposed high-efficiency control algorithm is a Direct Rotor Field-Oriented Control method that is insensitive to the fluctuation of motor parameters. In the DRFOC method, we need to compensate fluctuation of stator transient inductance and magnetizing inductance caused by the magnetic saturation of induction motor in high-speed area. This paper proposes Back-EMF Observer based on stator current estimator of Luenberger style. Motor control system applied the Voltage Feedback Flux Weakening Control method for high-speed operation. The proposed algorithm was verified through tests by the power train of Extended Range Electric Vehicle consists of induction motor and differential gear.