Development of an electronic ballast for 250 W HPS lamps

Jeong, In-Wha; Rim, Geun-Hie; Lee, H.J.; Ryoo, Hong-Je; Kim, J.S.; Lee, H.S.

doi:10.1109/isie.2001.931752

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…V a ~Va0 zR a IzE a L a (6) where V oc , R s and L s are the internal voltage, electrical resistance and inductance of the welding power source respectively; V p , R p and L p are the voltage drop, the resistance and the inductance of the welding cable respectively; V a0 is a constant in the welding model; R a , L a and E a are the resistance, the length and the electric field of the arc respectively. Based on equations ( 1), ( 2) and ( 4)-( 6), Kim and Na 7 and Yoo 8 have developed the differential equation to simulate the wire extension and welding current during GMAW.…”

Section: Mathematical Model Of Gmawmentioning

confidence: 99%

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Mathematical modelling of rotational arc sensor in GMAW and its applications to seam tracking and endpoint detection

Shi¹,

Yoo²,

Na³

2006

Science and Technology of Welding and Joining

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High speed rotational arc sensing is an important method to detect the torch deviation during automatic seam tracking of arc welding. In the present paper, a mathematic model of high speed rotational arc sensing is analysed. Simulations have been implemented in two conditions, namely considering or without considering weld bead profile. The simulation results are consistent with the experimental results. The current waveforms at the beginning of the welding are different from those at middle of the welding because of the formation of the weld bead profile. The signal patterns for seam tracking and endpoint detection are proposed. A phase shift between the rotation and the current variation is also discovered in the experiments. The mathematical model can be helpful for the interpretation and improvement of arc sensing systems.List of symbols a a constant equal to the high temperature resistivity of the wire extension, V mm b a constant depending on the room temperature resistivity of the wire, J mm 23 d arc arc diameter, mm e(k), e(k21) error detected at time k and k21 respectively E a electric field of the arc, V mm 21 h bead leg length in horizon direction, mm H o the heat content per unit volume of droplet received at detachment, J mm 23 I welding current, A Ī left average value of the welding current of left half cycle of arc rotation, A Ī right average value of the welding current of right half cycle of arc rotation, A k proportional coefficient L a length of the arc, mm L e wire extension, mm L p inductance of the welding cable, H L s inductance of the welding power source, H A P, B P, M P, W P position of the end of the wire extension in frame A, B, M and W respectively P offset torch offset, mm r torch rotation radius, mm A B R rotation matrix describing frame B relative to frame A R a resistance of the arc, V R e resistance at wire extension, V R p resistance of the welding cable, V R s electrical resistance of the welding power source, V S cross-section area of the wire, mm 2 u(k) output of the PID controller to drive the actuator to move v bead leg length in vertical direction, mm v f wire feed rate, mm s 21 v m melting rate of wire, mm s 21 v w welding speed, mm s 21 V a arc voltage, V V a0 a constant in the welding model, V V e voltage across wire extension, V V oc internal voltage of the welding power source, V V p voltage drop of the welding cable, V V s output voltage of the welding power source, V (y o , z o ) the coordinate point of the origin of frame A with respect to frame M y a constant for wire melting phenomenon, V w rotated angle between frame B and A, u h rotation angle of the torch with respect to the frame B, u v rotating speed, Hz

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Section: Mathematical Model Of Gmawmentioning

confidence: 99%

“…3,4 In recent years, rotational arc sensors have been introduced into seam tracking. 5,6 A rotational arc sensor can reach a rotating speed as high as 100 Hz easily, and therefore it is more efficiency in fillet welding and narrow gap welding.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modelling of rotational arc sensor in GMAW and its applications to seam tracking and endpoint detection

Shi¹,

Yoo²,

Na³

2006

Science and Technology of Welding and Joining

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show abstract

“…One reason is that it can be very difficult to determine lane markings on various conditions, particularly noise due to the dynamic of the environment, shadows, varieties and inconsistency of the lane markings, while other reason comes mainly from its real-time performance. For overcoming these problems, a variety of methods [1][2][3][4] have been presented in recent years and some progress are made.…”

Section: Introductionmentioning

confidence: 99%

A Vision-Based Lane Markings Detection and Recognition Method for Lane Departure Warning System

Chen

Shi

2011

AMM

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Lane departure warning system is an important element in improving driving safety and the main difficulty of which is to detect and recognize lane markings quickly and precisely. In this paper, for satisfying the quickness and precision requirement of recognizing lane markings, a novel vision-based lane markings detection and recognition method, which mainly comprise of two steps, is proposed. The first step of which is to roughly determine the ROI of lane markings by means of projection, while the next is to precisely detect lane markings by combining Hough transform with the least square method to fit straight-line. Large amounts of experiment indicate that the proposed method can rapidly and precisely recognize lane markings from sequential images.

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Development of an electronic ballast for 250 W HPS lamps

Cited by 2 publications

References 5 publications

Mathematical modelling of rotational arc sensor in GMAW and its applications to seam tracking and endpoint detection

Mathematical modelling of rotational arc sensor in GMAW and its applications to seam tracking and endpoint detection

A Vision-Based Lane Markings Detection and Recognition Method for Lane Departure Warning System

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