Optimization Design for the Longitudinal Structure of LED Light Guide Plate Using Soft Computing

Abstract

The study proposes an optical optimal design system of light guide plate (LGP). The optimization design is conducted in the longitudinal structure of the LGP incidence plane with 3-piece LED light source. Taguchi method is also used in carrying out the design of experiment through the TracePro, optical analysis software, and the experiment data were employedd as the back-propagation neural network (BPNN) training and testing samples, and then created an optical quality predictor of the longitudinal structure; BPNN can predict the impact of incidence plane luminance versus the different constructed parameters. Finally, the optical quality predictor can effectively generate the optimal parameters settings combined with genetic algorithm (GA). The simulation results show that the proposed system improves the non-uniformity problem of the incidence plane but also makes it easier to design the longitudinal structure of the incidence plane.