• Proceedings of the IEEK Conference
• /
• 2004.08c
• /
• pp.616-621
• /
• 2004

This paper investigated the speed sensorless indirect vector control of a two-phase induction motor to implement adjustable-speed drive for low-power applications. The sliding mode observer estimates rotor speed. The convergence of the nonlinear time-varying observer along with the asymptotic stability of the controller was analyzed. To define the control action which maintains the motion on the sliding manifold, an 'equivalent control' concept was used. It was simulated and implemented on a sensorless indirect vector drive for 150W two-phase induction motor. The simulation and experimental results demonstrated effectiveness of the estimation method.

• Proceedings of the KIPE Conference
• /
• 2001.10a
• /
• pp.443-447
• /
• 2001

In this paper, a robust sensorless vector control system for induction motors with a speed estimator and an uncertainty observer is presented. At first, the proposed speed estimator is based on the MRAS(Mode Reference Adaptive System) scheme and constructed with a simple fuzzy logic(FL) approach. The structure of the proposed FL estimator is very simple. The input of the FL is the rotor flux error difference between reference and adjustable model, and the output is the estimated incremental rotor speed Secondly, the unmodeled uncertainties such as parametric uncertainties and external load disturbances are modeled by a radial basis function network(RBFN). In the overal speed control system, the control inputs are composed with a norminal control input and a compensated control input, which are from RBFN observer output and the modeling error of the RBFN, repectively. The compensated control input is derived from Lyapunov unction approach. The simulation results are presented to show the validity of the proposed system.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1995.10a
• /
• pp.623-627
• /
• 1995

This paper deals with the process which automatically straightens the shaft whose straightness is over the tolerance. The developed straightening process is composed of the measuring module and the control module. In the measuring module, the deflection of each measuring point is automatically measured, and the press point and the reference press stroke is determined. In the control module, the springback is predicted by the observer using the calculated reference press stroke and on-line-measured force and deflection. Through a series of experiments, the validity of the proposed process was verified.

• Proceedings of the KIEE Conference
• /
• 2001.07b
• /
• pp.1165-1168
• /
• 2001

The effect of sensor faults in DTC based induction motor drives is analyzed and a fault detection problem is treated. An adaptive gain scheduling observer is proposed for the design of DTC controller and a fault detection system. The observer provides not only the estimate of stator flux, a key variable in DTC system, but also the estimates of stator current, rotor speed that are useful for fault detection purpose. Simulations for various type of sensor faults are performed to evaluate the performance of the overall control system and the proposed sensor fault detection scheme.

• Proceedings of the KIPE Conference
• /
• 1999.07a
• /
• pp.540-543
• /
• 1999

This paper describes a speed sensorless algorithm for vector control system with compensated stator resistance and rotor time constant of induction motor using a model reference adaptive system(MRAS). The system are composed of two MRAC, one is a rotor speed estimation and a stator resistor identification by back-EMF observer, other is used to identify rotor time constant by magnetizing current observer, so that the estimation can be cover a very low speed range with a robust control. The suggest control strategy and estimation method have been validated by simulation study. In the simulation using Matlab/Simulik, the proposed speed sensorless vector control system are shown to operate very well in spite of variable rotor time constant and load fluctuation.

• International journal of advanced smart convergence
• /
• v.1 no.1
• /
• pp.6-13
• /
• 2012

An improved algorithm for image quality assessment is presented. First a simple model of human visual system, consisting of a nonlinear function and a 2-D filter, processes the input images. This filter has one user-defined parameter, whose value depends on the reference image. This way the algorithm can adapt to different scenarios. In the next step the average value of locally computed correlation coefficients between the two processed images is found. This criterion is closely related to the way in which human observer assesses image quality. Finally, image quality measure is computed as the average value of locally computed correlation coefficients, adjusted by the average correlation coefficient between the reference and error images. By this approach the proposed measure differentiates between the random and signal dependant distortions, which have different effects on human observer. Performance of the proposed quality measure is illustrated by examples involving images with different types of degradation.

• The Transactions of the Korean Institute of Electrical Engineers B
• /
• v.52 no.10
• /
• pp.522-527
• /
• 2003

This paper proposes a new speed and flux estimation method which has the robustness against the variation of the electrical parameters of the motor and the superiority in the dynamic characteristics. In the proposed method, the stator currents and the rotor fluxes are observed on the stationary reference frame using the sliding mode concept. And the rotor speed is estimated using the current estimation errors and the observed rotor fluxes based on the Lyapunov stability theory. Also a design method of the observer gain is proposed to minimize the effect of the speed estimation error on the rotor flux observation. The experimental results are shown to verify that the proposed method shows the excellent performances under the variations of motor resistance and inductance.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.10 no.3
• /
• pp.211-217
• /
• 2000

A main contribution of this paper is the development of a Hopfield network-based algorithm for the fault diagnosis of the actuators in linear system with uncertainties. An unknown input decoupling approach is introduced to the design of an adaptive observer so that the observer is insensitive to uncertainties. As a result, the output observation error equation does not depend on the effect of uncertainties. Simultaneous energy minimization by the Hopfield network is used to minimize the least mean square of errors of errors of estimates of output variables. The Hopfield network provides an estimate of the gains of the actuators. When the system dynamics changes, identified gains go through a transient period and this period is used to detect faults. The proposed scheme is demonstrated through its application to a simulated second-order system.

• Proceedings of the KIPE Conference
• /
• 2018.07a
• /
• pp.60-62
• /
• 2018

본 논문에서는 유도전동기의 회전자 시정수 오차에 강인한 센서리스 전차원(Full-Order) 자속(Flux) 관측기(Observer)를 제안하였다. 이 관측기는 고정자 자속과 회전자 자속을 동기좌표계상에서 추정한다. 고정자 자속에서 누설 자속을 뺀 공극 자속을 기준으로 제어를 수행하며, 동기좌표계가 공극 자속을 빠르게 따라갈 수 있는 방법을 제안하였다. 제안된 방법을 적용할 때, 기존의 회전자 자속을 직접 이용하는 방법보다 중-고속 영역에서 회전자 시정수 오차의 영향이 감소함을 확인하였다. 또한 기존 관측기와 달리 제안된 관측기에서 적응제어기(Adaptive Controller)는 전동기의 회전 주파수가 아닌, 전동기의 슬립 주파수 만을 추정하므로, 회전자 자속 오차에 민감한 적응제어기의 역할을 축소하였다. 시뮬레이션 및 실험으로 이론의 타당성 및 효과를 검증하였다.

• Proceedings of the KIEE Conference
• /
• 2000.07b
• /
• pp.1030-1032
• /
• 2000

Direct torque control algorithm for 3-level inverter-fed induction motors is proposed. Conventional selection method of the stator voltage vector shows problems of stator flux drooping phenomenon and undesirable torque control appeared especially at the low, speed operation. To overcome these problems, a proposed method uses intermediate voltage vectors, which are inherently generated in 3-level inverters. An adaptive observer is also employed to estimate some state-variables and motor parameters, which takes a deep effect on the performance of the low speed operation. Simulation and experiment results verify effectiveness of the proposed algorithm.