Parameterized Display Performances Behavioral Modeling and Optimization for TFT-LCD Panel

Abstract

In this paper, we implement a systematical method for thin film transistor liquid-crystal display (TFT-LCD) design optimization and sensitivity analysis. Based upon a three-dimensional (3D) field solver, Simulation Program with Integrated Circuit Emphasis (SPICE), and a Design of Experiments, we construct a second-order response surface model (RSM) for the performances of an interested TFT-LCD panel. The constructed RSMs are reduced using a step-wise regression. The adequacy and accuracy using the normal residual plots and their residual of squares are verified. According to the constructed models, we then analyze the sensitivity of the performances by considering the design parameters as changing factors (i.e., the size variation, position shift and driving setting) under an assumption of Gaussian distribution. We also could apply the models to optimize the designed circuit. The designing parameters of these models are selected and optimized to fit the designing target of the examined circuit by the genetic algorithm in our unified optimization framework. This computational statistics method can predict the TFT-LCD performances and show the engineering practicability in display panel industry.