• International Journal of Precision Engineering and Manufacturing
• /
• 제6권2호
• /
• pp.19-25
• /
• 2005

In this paper, the feedforward control with least mean square (LMS) adaptive algorithm is proposed and examined to reduce rotating error by runout of an active magnetic bearing system. Using eddy-current type gap sensors for control, the electrical runout caused by non-uniform material properties of sensor target produces rotational error amplified in feedback control loop, so this runout should be eliminated to increase rotating accuracy. The adaptive feedforward controller is designed and examined its tracking performances and stability numerically with established frequency response function. The designed feedforward controller was applied to a grinding spindle system which is manufactured with a 5.5 kW internal motor and 5-axis active magnetic bearing system including 5 eddy current gap sensors which have approximately 15∼30㎛ of electrical runout. According to the experimental results, the error signal in radial bearings is reduced to less than 5 ,Urn when it is rotating up to 50,000 rpm due to applying the feedforward control for first order harmonic frequency, and corresponding vibration of the spindle is also removed.

• ETRI Journal
• /
• 제37권5호
• /
• pp.906-916
• /
• 2015

High-speed I/O channels require adaptive techniques to optimize the settings for filter tap weights at decision feedback equalization (DFE) read channels to compensate for channel inter-symbol interference (ISI) and crosstalk from multiple adjacent channels. Both ISI and crosstalk tend to vary with channel length, process, and temperature variations. Individually optimizing parameters such as those just mentioned leads to suboptimal solutions. We propose a joint optimization technique for crosstalk cancellation (XTC) at DFE to compensate for both ISI and XTC in high-speed I/O channels. The technique is used to compensate for between 15.7 dB and 19.7 dB of channel loss combined with a variety of crosstalk strengths from $60mV_{p-p}$ to $180mV_{p-p}$ adaptively, where the transmit non-return-to-zero signal amplitude is a constant $500mV_{p-p}$.

• 대한전기학회논문지
• /
• 제38권11호
• /
• pp.905-912
• /
• 1989

An adaptive control scheme is presented for uncertain systems whose uncertainties are upper-bounded by a linear combination of unknown constants and known continuous functions. The state of the closed-loop system is proven to be ultimately bounded. The proposed method modifies the method of Corless and Leitmann in the following two respects. First, the linear region of the saturation function in controller is fixed. Second, the intergration from in parameter estimator is replaced by a low pass filter form. These modifications prevent performance degradation and destabilization of the control system more effectively. The norm of the system states can be made sufficiently small by an appropriate choice of design parameters in the control law. The applicability of the proposed scheme is demonstrated in the position control of a simple pendulum via simulation.

• ETRI Journal
• /
• 제29권3호
• /
• pp.396-398
• /
• 2007

This letter presents an architecture based on a new double-filter strategy to perform the adaptive in-loop filtering process specified by the H.264/AVC standard. The proposed architecture shows considerable advantages, both in terms of hardware cost and latency, when compared with the approaches found in the most recent literature.

• ETRI Journal
• /
• 제34권5호
• /
• pp.666-673
• /
• 2012

Non-real-time delivery of stereoscopic video has been considered as a service scenario for 3DTV to overcome the limited bandwidth in the terrestrial digital television system. A hybrid codec combining MPEG-2 and H.264/AVC has been suggested for the compression of stereoscopic video for 3DTV. In this paper, we propose a stereoscopic video coding scheme using adaptive pre-/post-filters (APPF) to improve the quality of 3D video while retaining compatibility with legacy video coding standards. The APPF are applied adaptively to blocks of various sizes determined by the macroblock coding mode and reference frame index. Experiment results show that the proposed method achieves up to 24.86% bit rate savings relative to a hybrid codec of MPEG-2 and H.264/AVC including the inter-view prediction.

• 한국정보통신학회논문지
• /
• 제8권7호
• /
• pp.1424-1428
• /
• 2004

본 논문에서는 DSL 모뎀의 입출력단에 응용 가능한 수신단의 CMOS 필터를 설계 제안하였다. 제안된 필터는 저전력 특성을 위한 저전압 동작이 가능하며, 저역통과 특성과 고역통과 특성이 혼합된 연속시간 필터 형태로 송신단과 수신단에 위치하여 각종 DSL 시스템에 응용가능하다. 수신단에서 차단주파수는 각각 138kHz와 1.1MHz로서 요구되는 DSL 시스템의 표준 설계사양에 부합하도록 설계하였다. 선형성면에서 개선된 특성을 나타낸 저전압 gmr 방식의 적분기가 필터 설계를 위한 기본블럭으로 이용되었다. 설계된 필터는 0.25${\mu}m$ CMOS n-well 공정 파라미터를 이용한 HSPICE 시뮬레이션을 통해 그 특성이 검증되었다.

• 대한전자공학회논문지SD
• /
• 제46권2호
• /
• pp.71-77
• /
• 2009

본 논문에서는 다중 전하펌프를 이용하여 빠른 위상고정 시간을 갖는 새로운 위상고정루프를 제안하였다. 제안된 위상고정 루프는 세 개의 전하펌프를 사용하여 루프필터의 실효 커패시턴스와 저항을 위상고정 상태에 따라 각 전하펌프의 전류량 크기와 방향 제어를 통해 증감시킬 수 있다. 위상고정루프의 위상고정 상태에 따라 루프 대역폭을 제어하여 빠른 위상고정 시간을 갖는 위상고정루프를 설계하였다. 또한 전체 칩 영역의 많은 부분을 차지하는 커패시터의 크기를 제안된 구조로 최소화하였다. 저항과 커패시터를 모두 포함한 29.9KHz의 대역폭의 위상고정루프를 $990{\mu}m\;{\times}\;670{\mu}m$ 크기로 설계하였다. 제안된 위상고정 루프는 3.3V $0.35{\mu}m$ CMOS 공정을 이용하여 제작되었다. 851.2MHz 출력 주파수에서 측정된 위상 잡음은 -90.45 dBc/Hz@1MHz이며, 위상고정시간은 $6{\mu}s$ 보다 작은 값을 가진다.

• Journal of Power Electronics
• /
• 제16권5호
• /
• pp.1904-1917
• /
• 2016

The moving average filter (MAF) is widely utilized to improve the disturbance rejection capability of phase-locked loops (PLLs). This is of vital significance for the grid-integration and stable operation of power electronic converters to electric power systems. However, the open-loop bandwidth is drastically reduced after incorporating a MAF into the PLL structure, which makes the dynamic response sluggish. To overcome this shortcoming, some new techniques have recently been proposed to improve the transient response of MAF-based PLLs. In this paper, a comprehensive performance comparison of advanced MAF-based PLL algorithms is presented. This comparison includes HPLL, MPLC-PLL, QT1-PLL, and DMAF-PLL. Various disturbances, such as grid voltage sag, voltage flicker, harmonics distortion, phase-angle and frequency jumps, DC offsets and noise, are considered to experimentally test the dynamic performances of these PLL algorithms. Finally, an improved positive sequence extraction method for a HPLL under the frequency jumps scenario is presented to compensate for the steady-state error caused by non-frequency adaptive DSC, and a satisfactory performance has been achieved.

• Journal of Power Electronics
• /
• 제13권4호
• /
• pp.516-527
• /
• 2013

This paper presents a new overall system for state-of-available-power (SoAP) prediction for a lithium-ion battery pack. The essential part of this method is based on an adaptive network architecture which utilizes both fuzzy model (FIS) and artificial neural network (ANN) into the framework of adaptive neuro-fuzzy inference system (ANFIS). While battery aging proceeds, the system is capable of delivering accurate power prediction not only for room temperature, but also at lower temperatures at which power prediction is most challenging. Due to design property of ANN, the network parameters are adapted on-line to the current battery states (state-of-charge (SoC), state-of-health (SoH), temperature). SoC is required as an input parameter to SoAP module and high accuracy is crucial for a reliable on-line adaptation. Therefore, a reasonable way to determine the battery state variables is proposed applying a combination of several partly different algorithms. Among other SoC boundary estimation methods, robust extended Kalman filter (REKF) for recalibration of amp hour counters was implemented. ANFIS then achieves the SoAP estimation by means of time forward voltage prognosis (TFVP) before a power pulse occurs. The trade-off between computational cost of batch-learning and accuracy during on-line adaptation was optimized resulting in a real-time system with TFVP absolute error less than 1%. The verification was performed on a software-in-the-loop test bench setup using a 53 Ah lithium-ion cell.

• 한국정밀공학회지
• /
• 제24권3호
• /
• pp.67-75
• /
• 2007

This paper deals with a problem of vibration suppression of a piezoelectric beam using a self-sensing algorithm. Two methods, which are PPF(positive position feedback) and SRF(strain rate feedback), are considered to suppress a residual vibration of a piezoelectric beam developed during the step positioning of a beam end point. A self-sensing algorithm treated here is basically a strain rate estimator of a beam movement and is to be used for the closed loop control. The efficacy of the proposed idea is evaluated through experiments.