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Neuro-controller for Broadcast Lighting LED to Express xy Chromaticity Coordinates

xy 색도좌표 표현을 위한 방송 조명용 LED 신경망 제어기

  • Park, Sung-Chan (Dept. of Mechatronics Eng., Gyeognam Nat. Univ. of Science and Technology) ;
  • Park, Jin-Hyun (Dept. of Mechatronics Engineering, Gyeognam Nat. Univ. of Science and Technology)
  • Received : 2020.03.21
  • Accepted : 2020.04.18
  • Published : 2020.06.30

Abstract

To control the LED lighting for broadcasting, LED current control using tri-stimulus values is used for RGB LEDs. For the convenience of control, this control is approximated as a linear function or used as an appropriate value through trial and error. Also, it is not suitable for broadcast lighting because it does not use a diffuser plate applied for mixing sufficient light and color required for actual it. In this study, a neural network with excellent nonlinear function approximation is used as a control method for LED panels for broadcast lighting. We intend to implement an LED panels controller suitable for the desired chromaticity coordinates and dimming values of intensity. As a result of the performance evaluation, the errors of the xy chromaticity coordinates are mostly ±0.02 and the acceptable range of ANSI C78.377A was satisfied. The average errors of the xy chromaticity coordinate are xerror=0.0044 and yerror=0.0030, respectively, and we confirmed the superiority and stable performance of the proposed algorithm.

기존 방송용 LED 조명 제어방법은 RGB LED에 3자극치 이론을 적용한 LED 전류제어를 사용한다. 제어의 편의성을 위해 이러한 제어방법은 1차 선형함수로 근사하거나 시행착오를 통해 적절한 값을 사용한다. 그리고 실제 방송 조명에서 요구되는 충분한 광량과 색 혼합을 위해 적용되는 확산 판 등을 사용하지 않아 방송 조명으로는 적합하지 않다. 본 연구에서는 방송 조명용 LED 패널 제어방법으로 비선형함수 근사 능력이 뛰어난 순방향신경망을 사용하여 원하는 색도좌표 값과 조도의 디밍 값에 맞는 RGBW LED 패널 제어기를 구현하고자 한다. 성능 평가 결과 xy 색도좌표의 오차가 대부분 ±0.02 이내이며, ANSI C78.377A의 허용범위를 만족하였다. xy 색도좌표 값의 평균 오차는 xerror=0.0044, yerror=0.0030로 제안한 알고리즘의 우수함과 안정적인 성능을 확인하였다.

Keywords

References

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