• 제목/요약/키워드: torque estimation

검색결과 388건 처리시간 0.021초

EMG-Based Muscle Torque Estimation for FES Control System Design

  • Hyun, Bo-Ra;Song, Tong-Jin;Hwang, Sun-Hee;Khang, Gon;Eom, Gwang-Moon;Lee, Moon-Suk;Lee, Bum-Suk
    • 대한의용생체공학회:의공학회지
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    • 제28권1호
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    • pp.29-35
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    • 2007
  • This study was designed to investigate the feasibility to utilize the electromyogram (EMG) for estimating the muscle torque. The muscle torque estimation plays an important role in functional electrical stimulation because electrical stimulation causes muscles to fatigue much faster than voluntary contraction, and the stimulation intensity should then be modified to keep the muscle torque within the desired range. We employed the neural network method which was trained using the major EMG parameters and the corresponding knee extensor torque measured and extracted during isometric contractions. The experimental results suggested that (1) our neural network algorithm and protocol was feasible to be adopted in a real-time feedback control of the stimulation intensity, (2) the training data needed to cover the entire range of the measured value, (3) different amplitudes and frequencies made little difference to the estimation quality, and (4) a single input to the neural network led to a better estimation rather than a combination of two or three. Since this study was done under a limited contraction condition, the results need more experiments under many different contraction conditions, such as during walking, for justification.

4WD 차량의 후륜 구동력 제어를 위한 구동시 노면마찰계수 추정에 관한 연구 (A Study of Tire Road Friction Estimation for Controlling Rear Wheel Driving Force of 4WD Vehicle)

  • 박재영;심우진;허승진
    • 한국자동차공학회논문집
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    • 제24권5호
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    • pp.512-519
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    • 2016
  • In this study, the tire road friction estimation(TRFE) algorithm for controlling the rear wheel driving force of a 4WD vehicle during acceleration is developed using a standard sensor in an ordinary 4WD passenger car and a speed sensor. The algorithm is constructed for the wheel shaft torque, longitudinal tire force, vertical tire force and maximum tire road friction estimation. The estimation results of shaft torque and tire force were validated using a torque sensor and wheel force transducer. In the algorithm, the current road friction is defined as the proportion calculated between longitudinal and vertical tire force. Slip slop methods using current road friction and slip ratio are applied to estimate the road friction coefficient. Based on this study's results, the traction performance, fuel consumption and drive shaft strength performance of a 4WD vehicle are improved by applying the tire road friction estimation algorithm.

RLS알고리즘을 이용한 스텝 모터의 파라미터 추정 (Parameter Estimation for Step Motor using RLS Algorithm)

  • 연태준;김동민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.785-787
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    • 1999
  • In this paper, recursive least square algorithm is presented to estimate the parameters of step motor under low-speed operation. Parameter estimation is important for compensating the input current by calculating the ratio of the motor torque constant and detent torque constant that causes torque-ripple in low-speed applications. On-line parameter estimation process is a preliminary procedure to apply step motor to adaptive control. Computer simulation shows that the estimated parameters converge in finite time.

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고정자 자속 추정과 PLL을 이용한 동기모터의 센서리스 속도 제어 (Sensorless Speed Control of PMSM using Stator Flux Estimation and PLL)

  • 김민호;양오
    • 반도체디스플레이기술학회지
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    • 제14권2호
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    • pp.35-40
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    • 2015
  • This paper presents the sensorless position control of the Permanent Magnet Synchronous Motor (PMSM) using stator flux estimation and Phase Lock Loop (PLL). The field current and the torque current are required in order to perform the vector control of the PMSM. At this time, it is necessary for the torque to know the exact position of the magnetic flux generated by the permanent magnet, because the torque must be applied torque current in the direction orthogonal to the permanent magnet. In general the speed of the PMSM is controlled by using a magnetic position sensor. However, this paper, we estimates the stator flux by using the PLL method without the magnetic position sensor. This method is simple and easy, in addition it has the advantage of a stabile estimation of the rotor. Finally the proposed algorithm was confirmed by experimental results and showed the good performance.

On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor using an Extended Kalman Filter

  • Sim, Hyun-Woo;Lee, June-Seok;Lee, Kyo-Beum
    • Journal of Electrical Engineering and Technology
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    • 제9권2호
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    • pp.600-608
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    • 2014
  • This paper presents estimation of d-axis and q-axis inductance of an interior permanent magnet synchronous motor (IPMSM) by using an extended Kalman filter (EKF). The EKF is widely used for control applications including the motor sensorless control and parameter estimation. The motor parameters can be changed by temperature and air-gap flux. In particular, the variation of the inductance affects torque characteristics like the maximum torque per ampere (MTPA) control. Therefore, by estimating the parameters, it is possible to improve the torque characteristics of the motor. The performance of the proposed estimator is verified by simulations and experimental results based on an 11kW PMSM drive system.

트로틀 앵글 제어에 의한 내연기관의 토오크 및 속도의 비선형 제어 (Nonlinear Control of Torque and Speed of S.I.Engines Using Electric Throttle Control)

  • 원문철;강병배;박문수;김태영
    • 한국자동차공학회논문집
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    • 제7권6호
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    • pp.72-81
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    • 1999
  • A nonlinear engine torque and speed control algorithm using throttle angle control is developed with an engine load torque estimation algorithm. Three 3-dimensional nonlinear engine maps as a part of the nonlinear control algorithm are obtained from steady state engine dynamometer tests. An electric throttle actuator is developed using a stepper motor and a 8 bit micro-processor. The speed control and external load estimation algorithm are tested via engine speed control experiments, and show performance good enough for using various engine torque and speed control applications.

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유도전동기 센서리스 직접토크제어를 위한 향상된 고정자 자속의 추정 (A Improved Stator Flux Estimation for Sensorless DTC of Induction Motors)

  • 나광균;신명호;현동석
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2001년도 전력전자학술대회 논문집
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    • pp.264-267
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    • 2001
  • Direct Torque Control has the fast torque and flux dynamic response as we know. This dynamic performance is realized by the estimation of electromagnetic torque and stator flux linkages. Generally, the stator flux estimation is based on the stator voltage equation. The equation uses a pure integrator. If the equation is used without an encoder in Direct Torque Control, there is the drift problem. It is same to sensorless Stator Flux Orientation Control (SFO). In this paper a programmable low pass filter (LPF) is proposed for solving the problem in Direct Torque Control.

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전류측정 데이터를 이용한 브러쉬 없는 직류전동기의 구동토크 예측 (A Driving Torque Prediction of Brushless DC Motor by Using the Measured Current Data)

  • 변영철;전혁수
    • 한국군사과학기술학회지
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    • 제2권2호
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    • pp.242-250
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    • 1999
  • This paper presents an estimation scheme of the external torque applied on the motor by using measured motor input current when the IPM(Interior Permanent Magnet) rotor type BLDC motor operates with constant speed. In general, the BLDC motor is controlled by vector control method. If it could be operated at over critical speed, the control scheme must be modified to flux-weakening control method. The external torque applied on the motor using flux-weakening control method could not be calculated by conventional torque equation because the demagnetizing current Id exists in the motor input current. In this paper, the commonly used flux-weakening control method is studied and the modified torque estimation scheme is suggested. The estimation scheme has been verified by the simulations and experimental results.

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그래픽 프로그래밍 기법을 이용한 주축용 유도전동기의 속도 센서리스 토크감시 (Speed Sensorless Torque Monitoring of Induction Spindle Motor using Graphical Programming)

  • 박진우;권원태
    • 한국정밀공학회지
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    • 제19권10호
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    • pp.107-113
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    • 2002
  • To monitor the torque of an induction motor using current, rotating speed has been measured and used to calculate the slip angular velocity. Additional sensor, however, can cause extra expense and trouble. In this paper, a new algorithm is proposed to monitor the torque of vector controlled induction motor without any speed measuring sensor. Only stator current is measured to estimate the magnetizing current which is used to calculate flux linkage, rotor velocity and motor torque. Graphical programming is used to implement the suggested algorithm and to monitor the torque of an induction motor in real time. To solve the fluctuation problem of estimated torque caused from instantly varying rotating speed of an induction motor, the rotating speed is reconstructed based on the measured current signals. From several experiments, the proposed method shows a good estimation of the motor torque under the normal rotational speed.

주축 모터 동력을 이용한 절삭력 예측 (Cutting Force Estimation Using Spindle Motor Power)

  • 최영준;김기대;주종남
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 춘계학술대회 논문집
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    • pp.1088-1094
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    • 1997
  • An indirect cutting torque and cutting force estimation method is presented. This method uses a time-domain model between the spindle motor power, which calculated form measured spindle motor current and voltage. Spindle motor power is linear with cutting torque in this model. The cutting force is proportional to the cutting torque. Using trial cut, parameters are determined. Static sensitivity is suitable for various cutting conditions. The presented method is verified under several cutting tests on the CNC horizontal machining center.

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