A modified MODPEX model for MOSFET and parameter optimization using excel-based genetic algorithm
MODPEX is widely used in industry and universities to produce Pspice model for power semiconductor devices, including MOSFETs. However, the model generated by MODPEX for MOSFETs does not include channel charge at strong inversion condition. This paper presents a modified MODPEX model for MOSFETs, which includes channel charge at strong inversion condition. A process based on genetic algorithm (GA) implemented in Microsoft Office Excel is developed to optimize parameters of the modified MODPEX model. Static and dynamic validation proves that the modified MODPEX model improves simulation accuracy in both switching loss and driver loss.
Application of the Genetic Algorithm in MOSFET Modeling and Parameter Extraction
In this paper, the genetic algorithm is introduced into parameter optimization for MOSFET small-signal model parameter extraction for up to 60 GHz millimeter-wave operations. Initial parameters of the model are extracted by curve fitting and direct parameter extraction method in saturation region approximately, and then fourteen independent parameters of the equivalent circuit model are optimized together. The real and imaginary part of S-parameter are set as the fitting targets simultaneously in this study. With the more convenient genetic algorithm, the model with the optimized parameters gives a better fitting accuracy than the initial parameters without optimization.
Studies on the composition, quality and processing of triticale. Part II. Mineral composition of grain and flour.
Mineral composition of grain and flour in 14 promising triticale strains from India are reported. The mean values for whole grain, i.e. Ca (0.47 mg/g), P (2.70 mg/g), K 4.60 mg/g, Na (352 micrograms/g), Zn (41.6 micrograms/g), Cu (7.0 micrograms/g), Fe (73.4 micrograms/g) and Mn (33.6 micrograms/g) were obtained as compared to those of flour, i.e. Ca (0.27 mg/g), P (0.97 mg/g), K (1.64 mg/g), Na (231 micrograms/g), Zn (26 micrograms/g), Cu (4.0 micrograms/g) and Mn (10.5 micrograms/g), respectively. These values were found to be considerably higher than those of wheat. Highly significant positive correlations of ash with sodium and zinc in whole grain were observed. In the case of triticale flour, highly significant positive correlations of ash with manganese, phosphorus and potassium were obtained.