• Title/Summary/Keyword: Non Precision Approach

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Simulation of the Reduction of Force Ripples of the Permanent Magnet Linear Synchronous Motor

  • Chung, Koon-Seok;Zhu, Yu-Wu;Lee, In-Jae;Lee, Kwon-Soon;Cho, Yun-Hyun
    • Journal of Electrical Engineering and Technology
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    • v.2 no.2
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    • pp.208-215
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    • 2007
  • The significant drawback of the permanent magnet linear synchronous motor (PMLSM) is force ripples, which are generated by the distortion of the stator flux linkage distributions, cogging forces caused by the interaction of the permanent magnet and the iron core and the end effects. This will deteriorate the performance of the drive system in high precision applications. The PMLSM and its parasitic effects are analyzed and modeled using the complex state-variable approach. To minimize the force ripple and realize the high precision control, the components of force ripples are extracted first and then compensated by injecting the instantaneous current to counteract the force ripples. And this method of the PMLSM system is realized by the field oriented control method. In order to verify the validity of this proposed method, the system simulations are carried out and the results are analyzed. The effectiveness of the proposed force ripples reduction method can be seen according to the comparison between the compensation and non-compensation cases.

Techniques of Editing and Reproducing Robot Operation Data for Direct Teaching (직접 교시 작업을 위한 로봇 작업 정보 편집 및 재생산 기법)

  • Kim, Han-Joon;Wang, Young-Jin;Kim, Jin-Oh;Back, Ju-Hoon
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.1
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    • pp.96-104
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    • 2013
  • Study of human-robot Interaction gets more and more attention to expand the robot application for tasks difficult by robot alone. Developed countries are preparing for a new market by introducing the concept of 'Co-Robot' model of human-robot Interaction. Our research of direct teaching is a way to instruct robot's trajectory by human's handling of its end device. This method is more intuitive than other existing methods. The benefit of this approach includes easy and fast teaching even by non-professional workers. And it can enhance utilization of robots in small and medium-sized enterprises for small quantity batch production. In this study, we developed the algorithms for creating accurate trajectory from repeated inaccurate direct teaching and GUI for the direct teaching. We also propose the basic framework for direct teaching.

Study on the Damage Diagnosis of an Cantilever Beams using PZT Actuator and PVDF Sensor (PZT 액추에이터와 PVDF센서를 이용한 외팔보의 손상 진단에 관한 연구)

  • 권대규;임숙정;유기호;이성철
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.5
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    • pp.73-82
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    • 2004
  • This paper presents the study on damage diagnosis of an intelligent cantilevered beams using PZT actuator and PVDF sensor This study provides the theoretical and experimental verification to examine structural damage. Time domain analysis for the non-destructive detection of damage is presented by parameterized partial differential equations and Galerkin approximation techniques. The time histories of the vibration response of structure were used to identify the presence of damage. Furthermore, this systematic approach permits one to use the piezomaterials to both excite and sense the vibration of structures. We also carried out the experimental verification about reliability of theoretical methods fur detecting the damage of a composite beam with PZT actuator and PVDF sensor. Experimental results are presented from tests on cantilevered composite beams which is damaged at different location and different dimensions. The results were compared with the simulation results. Good agreement between the results was found for the time shifts and amplitude difference in transients response of the cantilevered beam.

Reducing the Non Grinding Time in Grinding Operations(2nd report) -Decision of Dressing Chance and Depth by the Direct Measurement of Grinding Wheel Surface- (연삭가공에 있어 비가공 시간 단축에 관한 연구(II))

  • KIM, Sun Ho;AHN, Jung-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.8
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    • pp.101-107
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    • 1997
  • In general, grinding is one of the final machining processes which determines the surface quality of machined products. Since the ground surface is affected by the states of grains and voids on the grinding wheel surface, the wheel should be dressed before the machined surface deteriorates over a quality limit This paper describes a systematic approach to decide a proper dressing chance and an optimal dressing depth for the working grinding wheel. An eddy current sensor and a laser displacement sensor are used to measure the loading on the working wheel surface and the topography of the dressed wheel surface respec- tively. The dressing chance can be properly decided through the relational locus between the amount of handing and the machined surface roughness. An optimal dressing depth to guarantee the less wheel loss and the higher wheel surface quality is decided through the analysis of the variance of topography for the dressed wheel surface, which decreases at three different rates according to the accumulated dressing depth.

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An intelligent sensor system with reconstruction mechanism of faulty signal

  • Jung, Young-Su;Hyun, Woong-Keun;Yoon, In-Mo;Jung, Young-Kee;Kim, C.S.;Kim, Nam-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1231-1234
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    • 2003
  • A sensor working in outdoor may generate some faulty signal owing to dust and high temperature. This paper describes an intelligent sensor system and controller which has a reconstruction mechanism for faulty signal. The faulty signals are dievided into two types as linear distortion and non linear distortion, respectively. The linear distorted signal is due to dust, and non linear distorted signal is due to physical breakdown of sensor or high temperature. These distorted signal have been reconstructed by the proposed method based on polynomial regression method and principal component analysis approach.. The proposed method has been applied to sun tracking system working in outdoor. For a robust and precision control of sun tracker, a fuzzy controller was also proposed. The fuzzy controller controls the tracker by using the collected sensor signal. The tolerance of the position control is within 1.5 degree. To show the validity of the developed system, some experiments in the field were illustrated.

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Application of the Preliminary Displacement Principle to the Temper Rolling Model

  • Lee, Won-Ho;Yuli Liu
    • Journal of Mechanical Science and Technology
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    • v.15 no.2
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    • pp.225-231
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    • 2001
  • A mathematical model for the analysis of roll gap phenomena in the strip temper rolling process is described. A new approach to solve the roll indentation and diverging problem in modeling of severe temper rolling cases is obtained by adopting the preliminary displacement principle of two contacted rough bodies to describe the friction behavior in the roll gap. The mechanical peculiarities of the temper rolling process, such as a high friction value with high roughness rolls and a non-circular contact arc, low reduction and non-negligible entry and exit elastic zones as well as central preliminary displacement zone etc., are all taken into account. The deformation of work rolls is calculated with the influence function method and an arbitrary contact are shape is permitted. The strip deformation is modeled by the slab method and the entry and exit elastic deformation zones are included. The preliminary displacement principle is used to determine the boundaries and to calculate the friction of the central preliminary displacement zone. The model is calibrated against the production mill data and installed in the setup computer of a temper rolling mill in POSCO. The validity and precision of the model have been proven through a comparison of the measured roll forces and the predicted ones.

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Protein Named Entity Identification Based on Probabilistic Features Derived from GENIA Corpus and Medical Text on the Web

  • Sumathipala, Sagara;Yamada, Koichi;Unehara, Muneyuki;Suzuki, Izumi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.2
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    • pp.111-120
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    • 2015
  • Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.

An Approach to Target Tracking Using Region-Based Similarity of the Image Segmented by Least-Eigenvalue (최소고유치로 분할된 영상의 영역기반 유사도를 이용한 목표추적)

  • Oh, Hong-Gyun;Sohn, Yong-Jun;Jang, Dong-Sik;Kim, Mun-Hwa
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.4
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    • pp.327-332
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    • 2002
  • The main problems of computational complexity in object tracking are definition of objects, segmentations and identifications in non-structured environments with erratic movements and collisions of objects. The object's information as a region that corresponds to objects without discriminating among objects are considered. This paper describes the algorithm that, automatically and efficiently, recognizes and keeps tracks of interest-regions selected by users in video or camera image sequences. The block-based feature matching method is used for the region tracking. This matching process considers only dominant feature points such as corners and curved-edges without requiring a pre-defined model of objects. Experimental results show that the proposed method provides above 96% precision for correct region matching and real-time process even when the objects undergo scaling and 3-dimen-sional movements In successive image sequences.

Powder Injection Molding Technique of Fabricating Cemented Tungsten Carbide Balls for Milling and Dispersing Nano-Powder (나노분말 분쇄 및 분산용 고성능 초경합금 볼의 제조를 위한 분말사출성형 공법)

  • Chung, Seong-Taek;Cho, Ju-Hyun;Lee, Min-Cheol;Kwon, Young-Sam;Joun, Man-Soo
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.37-42
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    • 2007
  • We present a powder injection molding technique of fabricating cemented tungsten carbide(WC) balls for milling and dispersing nano-powder in this paper. The conventional powder metallurgy approach is investigated to reveal its drawbacks of density non-homogeneity. New procedures of powder injection molding for the homogeneous high-precision WC balls, involving the binding process, powder injection molding process and sintering process, are presented in detail. Each process is investigated empirically and numerically to obtain its engineering information, which can used for process optimization.

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Analysis on the Calculation of Plasma Medium with Parallel SO-FDTD Method

  • Duan, Xule;Yang, Hong Wei;Kong, Xiangkun;Liu, Han
    • ETRI Journal
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    • v.31 no.4
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    • pp.387-392
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    • 2009
  • This paper introduces a novel parallel shift operator finite-difference time-domain (SO-FDTD) method for plasma in the dispersive media. We calculate the interaction between the electromagnetic wave of various frequencies and non-magnetized plasma by using the parallel SO-FDTD method. Then, we compare the results,which are calculated with serial and parallel SO-FDTD executions to obtain the speedup ratio and validate the parallel execution. We conclude that the parallel SO method has almost the same precision as the serial SO method, while the parallel approach expands the scope of memory and reduces the CPU time.