• Title/Summary/Keyword: PD algorithm

Search Result 270, Processing Time 0.023 seconds

Effective Location Estimation of Partial Discharge Using Ultrasonic Signal's Propagation Characteristic and Neural Network (초음파 전달특성과 신경망을 이용한 효과적인 부분방전 위치 추정)

  • Seo, In-Chul;Kim, Jae-Chul;Jeon, Young-Jae;Kim, Young-No
    • Proceedings of the KIEE Conference
    • /
    • 2001.07a
    • /
    • pp.467-469
    • /
    • 2001
  • This paper presents an efficient location estimation methodology for a partial discharge(PD) source in the power transformer. The methodology previously proposed is not suitable for locating a PD source because the ultrasonic signal with medium attenuated through the inner structure. In general, the propagation characteristic of ultrasonic signal with medium is different. Therefore, using this propagation characteristic, we can detect the location of PD source. In this paper, the proposal algorithm finds the PD source using three sensors attached to one side of the transformer without attenuation of the ultrasonic signal and applying the neural network based geometrical method. The proposed methodology demonstrates the effectiveness and validity on an experimental transformer.

  • PDF

Fuzzy PD Speed Controller for Permanent Magnet Synchronous Motors

  • Jung, Jin-Woo;Choi, Han-Ho;Kim, Tae-Heoung
    • Journal of Power Electronics
    • /
    • v.11 no.6
    • /
    • pp.819-823
    • /
    • 2011
  • This paper presents a fuzzy PD speed control scheme for the robust speed tracking of a permanent magnet synchronous motor (PMSM). Motivated by the common control engineering knowledge that transient performance can be improved if the P gain is big and the D gain is small in the beginning, a linearizing control scheme with a fuzzy PD controller is proposed. The global system stability is analyzed and the proposed control algorithm is implemented using a TMS320F28335 DSP. Simulation and experimental results are given to verify the effectiveness of the proposed method.

A Study on Partial Discharge Diagnostic System for Power Cable using RLCR

  • Park, Keeyoung;Choi, Hyungkee;Lee, Chulhee;Hong, Soomi
    • KEPCO Journal on Electric Power and Energy
    • /
    • v.2 no.1
    • /
    • pp.43-47
    • /
    • 2016
  • This system is a diagnosis system that checks whether it causes a partial discharge of a power cable or not. It is to classify normal from abnormal-normal, PD (Partial Discharge) sound through analysis of RLCR (Relative Level Crossing Rate) and spectrogram energy algorithm. Partial discharge diagnostic system has a function that stores PD sound and analyzes the data. The wave shape of PD sound is similar to noise and is systematically generated by partial discharge. Therefore, in this paper, we could discreminate between normal and abnormal case using relative level crossing rate (RLCR) and spectrogram of frequency energy rate.

Implemention of diagnosis algorithm to traction equipment for railway (철도차량 추진시스템의 진단 알고리즘 구현)

  • Ko, Byeong-Hun;Park, Young;Kwon, Sam-Young;Park, Hyun-June;Kim, Hee-Dong
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2007.06a
    • /
    • pp.500-501
    • /
    • 2007
  • The method of maintenance in railway is going to be changed to improve reliability on traction equipment. Partial discharge (PD) tests are useful to evaluate the insulation condition of stator winding. This paper describes the use of PD tests with 5 model coils which have the defects such as internal, slot discharge. The PD tests are performed with epoxy-mica coupler 500 pF at various AC voltages. The result of test shows PD pattern can correlate with the species of defects on 5 model coils.

  • PDF

A Study on a Sliding Mode Control Algorithm for Dynamic Positioning System of a Vessel (선박의 동적위치유지 시스템을 위한 Sliding Mode 제어 연구)

  • Young-Shik Kim;Jang-Pyo Hong
    • Journal of Navigation and Port Research
    • /
    • v.47 no.4
    • /
    • pp.256-270
    • /
    • 2023
  • In this study, a sliding mode (SM) controller for dynamic positioning (DP) was specifically designed for a turret connection operation of a ship or an offshore structure in which an arbitrary point on the structure could be controlled as the motion center instead of the center of mass. The SM controller allows control of the arbitrary point and provides capability to manage uncertainties in the dynamics of ships and offshore structures, external forces caused by unknown changing marine environments, and transient performance of DP systems. The Jacobian matrix included in kinematic equations of the controlled object was modified to design the SM controller to control based on an arbitrary point of ships or offshore structures. To ensure robustness of the controller, the Lyapunov stability theory was applied in the design of the SM controller. In general, for robustness in DP control, gain scheduling based on a proportional-derivative (PD) control algorithm is employed. However, finding appropriate gains for gain scheduling complicates the application of DP systems. Therefore, in this study, the SM control algorithm was considered to mitigate the complexity of the DP controller for ships and offshore structures. To validate the proposed SM control algorithm, time-domain simulations were conducted and utilized to evaluate the performance of the control algorithm. The effectiveness of the proposed SM controller was assessed by comparing simulation results with results of a conventional PD control algorithm applied in DP control.

Estimation Algorithm of Receiver's Position and Angle Based on Tracking of Received Light Intensity for Indoor Visible Light Communication Systems (실내 가시광 무선 통신 시스템의 수신 광도 변화 추적 기반 단말기 위치 및 수신각 추정 알고리즘)

  • Hwang, Jun-Ho;Lee, Ji-Soo;Yoo, Myung-Sik
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.48 no.3
    • /
    • pp.60-67
    • /
    • 2011
  • Visible light communication system transmits data by controlling light emission of LED and receives data through photo detecter, which is considered as one of strong candidates of next generation wireless communication systems. The transmission capacity of visible light communication system depends on light intensity emitted from LED, sensitivity of PD, distance between transmitter and receiver, angle of incidence at the receiver. In particular, the receiver's vertical and horizontal movement changes distance between transmitter and receiver and angle of incidence, which may degrades transmission capacity of system. In this paper, we propose an estimation algorithm of receiver's position and angle based on tracking of received light intensity for indoor visible light communication systems. The performance evaluation of proposed algorithm confirms that the estimation algorithm of receiver's position and angle is quite important for visible light communication system to improve its transmission capacity.

Application of SA-SVM Incremental Algorithm in GIS PD Pattern Recognition

  • Tang, Ju;Zhuo, Ran;Wang, DiBo;Wu, JianRong;Zhang, XiaoXing
    • Journal of Electrical Engineering and Technology
    • /
    • v.11 no.1
    • /
    • pp.192-199
    • /
    • 2016
  • With changes in insulated defects, the environment, and so on, new partial discharge (PD) data are highly different from the original samples. It leads to a decrease in on-line recognition rate. The UHF signal and pulse current signal of four kinds of typical artificial defect models in gas insulated switchgear (GIS) are obtained simultaneously by experiment. The relationship map of ultra-high frequency (UHF) cumulative energy and its corresponding apparent discharge of four kinds of typical artificial defect models are plotted. UHF cumulative energy and its corresponding apparent discharge are used as inputs. The support vector machine (SVM) incremental method is constructed. Examples show that the PD SVM incremental method based on simulated annealing (SA) effectively speeds up the data update rate and improves the adaptability of the classifier compared with the original method, in that the total sample is constituted by the old and new data. The PD SVM incremental method is a better pattern recognition technology for PD on-line monitoring.

Construction of the I-PD Control System by Multilayer Neural Network (다층 신경망에 의한 I-PD 제어계의 구성)

  • 고태언
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.3 no.1
    • /
    • pp.74-79
    • /
    • 2002
  • Many control techniques have been proposed in order to improve the control performance in discrete-time domain control system. In control system using these techniques, the response-characteristic of system is dependent on the gains of the controller. Specially, There is a need to readjust the gain of controller when the response of system is changed by disturbance or load fluctuation. In this paper, I-PD controller and pre-compensator are designed by multilayer neural network. The gains of I-PD controller and pre-compensator are adjusted automatically by back propagation algorithm when the response characteristic of system is changed under a condition. Applying this control technique to the position control system using a DC servo motor as a driver, the control performance of controller is verified by the results of experiment.

  • PDF

Efficient Idle Virtual Machine Management for Heterogeneous Cloud using Common Deployment Model

  • Saravanakumar, C.;Arun, C.
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.10 no.4
    • /
    • pp.1501-1518
    • /
    • 2016
  • This paper presents an effective management of VM (Virtual Machine) for heterogeneous cloud using Common Deployment Model (CDM) brokering mechanism. The effective utilization of VM is achieved by means of task scheduling with VM placement technique. The placements of VM for the physical machine are analyzed with respect to execution time of the task. The idle time of the VMis utilized productively in order to improve the performance. The VMs are also scheduled to maintain the state of the current VM after the task completion. CDM based algorithm maintains two directories namely Active Directory (AD) and Passive Directory (PD). These directories maintain VM with proper configuration mapping of the physical machines to perform two operations namely VM migration and VM roll back. VM migration operation is performed from AD to PD whereas VM roll back operation is performed from PD to AD. The main objectives of the proposed algorithm is to manage the VM's idle time effectively and to maximize the utilization of resources at the data center. The VM placement and VM scheduling algorithms are analyzed in various dimensions of the cloud and the results are compared with iCanCloud model.

On the Use of a Frame-Correlated HMM for Speech Recognition (Frame-Correlated HMM을 이용한 음성 인식)

  • 김남수
    • Proceedings of the Acoustical Society of Korea Conference
    • /
    • 1994.06c
    • /
    • pp.223-228
    • /
    • 1994
  • We propose a novel method to incorporate temporal correlations into a speech recognition system based on the conventional hidden Markov model. With the proposed method using the extended logarithmic pool, we approximate a joint conditional PD by separate conditional PD's associated with respective components of conditions. We provide a constrained optimization algorithm with which we can find the optimal value for the pooling weights. The results in the experiments of speaker-independent continuous speech recognition with frame correlations show error reduction by 13.7% with the proposed methods as compared to that without frame correlations.

  • PDF