• 한국전자통신학회논문지
• /
• 제8권12호
• /
• pp.1865-1874
• /
• 2013

본 논문은 IPMSM(Interior Permanent Magnet Synchronous Motor)의 센서리스 운전을 위해 엔센티드 칼만필터를 기반으로 하는 속도와 위치 추정기의 설계방법을 제안한다. 제안된 방법은 회전축에 동기하여 설계된 관측기에 비해, 간단한 전류계측이 가능하고 관측기의 비선형 항이 포함되도록 상태 추정기를 설계하였다. 제어기는 비선형 백스텝핑 제어기법으로 구성하고, 추정된 속도와 위치정보로 속도와 전류제어를 수행하였다. 설계된 추정기의 성능은 시뮬레이션을 통해 dq축에 동기하여 설계된 추정기의 성능과 비교 검증하였다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
• /
• pp.420-422
• /
• 1998

In this paper, we propose a position-speed control of servo system with a state estimator. And also we utilized two mass modelling in order to deals with real system accurately. The overall control system consists of two parts: the position-speed controller and state estimator. The Kalman filter applied as state - feedback controller is an optimal state estimator applied to a dynamic system that involves random perturbations and gives a linear,unbiased and minimun error variance recursive algorithm to estimate the unknown state optimally. Therefore we consider the error problem about the servo system modelling, the measurement noise at low-speed ranges a stochastic system, and implement a optimal state observer. Performance of the proposed state estimator are demonstrated by computer simulations.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2015년도 전력전자학술대회 논문집
• /
• pp.503-504
• /
• 2015

This paper deals with the analysis of characteristics of position and speed estimator of an adaptive sensorless control algorithm for PMSM drives. The analysis shows that the back emf constant variation results in the position estimation error, but does not the speed estimation error. The simulation and experimental results are shown to verify the analysis result and the usefulness of the back emf constant estimator.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2011년도 제42회 하계학술대회
• /
• pp.830-831
• /
• 2011

The paper makes an investigation on a speed and stator flux linkage estimator for permanent magnet synchronous motor (PMSM) sensorless drives using the technology of model reference adaptive system (MRAS). The designed estimator including two models and two adaptive estimating laws is proved to be stable by the Popov hyper-stability theory. The speed, the stator flux linkage and the resistance are estimated accurately by the proposed estimator while overcoming the shortcoming of the traditional one. The experiment results demonstrate its effectiveness.

• 대한전기학회논문지:전력기술부문A
• /
• 제48권8호
• /
• pp.996-1003
• /
• 1999

This paper propose a position-speed controller with an estimator which can estimate states and disturbance. The overall control system consists of two parts: the position-speed controller and an estimator. The Kalman filter applied as state-feedback controller is an optimal state estimator applied to a dynamic system that involves random perturbations and gives a linear, unbiased and minimum error variance recursive algorithm to optimally estimate the unknown state. Therefore, we consider the error problem about the servo system modeling and the measurement noise as a stochastic system and implement a optimal state observer, and enhance the estimate performance of position and speed using that. Using two-degree-of freedom(TDOF) conception, we design the command input response and the closed loop characteristics independently. The servo system is to improve the closed loop characteristics without affecting the command imput response. The characteristics of the closed loop system is improved by suppressing disturbance torque effectively with the disturbance observer using a inverse-transfer matrix. Therefore, the performance of overall position-speed controller is enhanced. Finally, the performance of the proposed controller is exemplified by some simulations and by applying the real servo system.

• 전력전자학회논문지
• /
• 제8권4호
• /
• pp.299-306
• /
• 2003

유도전동기의 벡터제어를 수행하기 위해서 회전자 자속의 위치정보가 필수적이다. 하지만 정확한 회전자 위치정보를 얻기 위해서는 속도정보가 필수적이다. 속도정보 없는 개루프 방식의 제어나 전동기 방정식을 이용하는 방법들은 노이즈나 전동기 상수오차등에 의해 적용하기 어렵다. 본 논문에서는 자속관측기와 속도추정기를 분리하여 임의의 자속관측기를 사용할 수 있는 속도추정기를 제안하고 기존의 세 가지 자속관측기를 제안된 속도추정기에 적용하였다. 시뮬레이션 및 실험을 통하여 제안된 속도추정기의 타당성을 검증하였고 세 가지 자속관측기의 특성을 분석하였다.

• ETRI Journal
• /
• 제25권5호
• /
• pp.418-421
• /
• 2003

We propose an unbiased signal-to-interference ratio (SIR) estimator for the high speed downlink packet access (HSDPA) system. The proposed SIR estimator solves the problem of underestimation present in conventional SIR estimators and is suitable for channel quality measurement in the adaptive modulation and coding scheme of HSDPA, which requires accurate SIR estimation for optimum adaptive modulation and coding selection. Our analysis and simulation results demonstrate the improved estimation performance of the proposed SIR estimator.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 D
• /
• pp.2467-2469
• /
• 2000

In this paper, the DSP implementation of induction motor drive is presented on the viewpoint of the design and experiment. The speed estimation of control system for induction motor drive is designed on the base of neural network speed estimator. This neural network speed estimator is experimentally applied to the induction motor system. This system provides the satisfactory results.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
• /
• 제52권2호
• /
• pp.87-92
• /
• 2003

This paper presents a flux estimator for the sensorless vector control of induction motors. The proposed method utilize the combination of the voltage model based on stator equivalent model and the current model based on rotor equivalent model, which enables stable estimation of rotor flux in high speed region and in low speed region. The dynamic performance of proposed method is verified through the experiment. The experimental results show that motors ran easily start even under 150[%] load condition and operate continuously below 0.5[Hz].

• 제어로봇시스템학회논문지
• /
• 제15권1호
• /
• pp.1-7
• /
• 2009

As designing PID control on aircraft, we consider a gain scheduling on altitude and velocity. If pitot tube is not installed in the unpowered air vehicle, the control performance is reduced by the difference between ground speed and air speed with a wind considered. In this paper, a simple guidance controller (LOS: Line of Sight) and the wind estimator using Kalman filter are designed. And we minimize the wind effect through the estimator. Finally, we perform the 6-DOF nonlinear simulation with the wind model to verify the performance of the controller with the wind estimator.