Study of two-cell immune feedback control for water level of boiler drum based on gray prediction
Due to the ‘false water level’ phenomenon in power station makes the traditional control strategy can't be a good solution to the problem, a two-cell immune feedback control strategy based on gray prediction for water level of boiler drum in power station is proposed, which using the function of gray prediction with strong self-adaptability and advanced control functions, and learning from bio-feedback mechanism of the immune system and regulating rule of response process. Through lots of simulation studies, it can achieve a more satisfied control quality with strong robustness and anti-jamming capability. Meanwhile, the structure and algorithm of the control strategy are simple and easy to engineering implementation.
Immune PID Cascade Control of Fresh Steam Temperature Control System in Fossil-fired Power Plant
Since fresh steam temperature control systems of fossil power plants are characterized by large inertia, long time lag and variation with time, satisfying control effect can not be achieved with traditional control methods of fresh steam temperature systems which use the normal PID cascade control methods. Biology immune systems are characterized by their strong robustness and self-adaptability even when encountering strong disturbances and uncertain conditions. Prompted by the regulation law of immunity feedback response in biology, immune PID cascade control is being suggested for controlling fresh steam temperature in fossil-fired power plants. Simulation studies of high temperature superheaters under 4 typical operating conditions of a certain supercritical 600 MW power boiler show that the control effect by this strategy is superior to that of normal PID cascade control. It is featured by strong robustness and self-adaptability, and can readily accommodate itself to the object's parameter variations. Figs 5, tables 2 and refs 8.
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.