The aim of this study is building the new method and the mathematical model to determine the rate of freezing water inside Royal jelly of the freezing process for using in preservation as well as for using in the freeze drying. The results obtained were used to determine the optimal freezing temperature of Royal jelly for preservation of -5.73°C (corresponding to the rate of freezing water inside Royal jelly of 86.02% over 86%) and for the freeze drying of -18.33°C (corresponding to the rate of freezing water inside Royal jelly of 100%). This is basic parameters and very essential to set up the technological mode of the freezing process Royal jelly for preservation as well as for freeze drying.
This paper has presented an adaptive fuzzy controller for permanent magnet synchronous motor. A rotor speed estimation based on sliding mode observer. Space-vector pulse width modulation was used for slipping frequency vector control system. The simulation architecture of system was implemented on Modelsim and Matlab/Simulink. The algorithm controls have implemented by very high speed integrated circuit hardware description language and embedded to Simulink/Matlab for controlling. The simulation results shown that the motor's speed has good performance and isn't sensitive to the parameter variations. Controller integrated in an IC saves space and avoids the influence of external factors preferred as noise or temperature.
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