Abstract
When testing asynchronous machines, it is important to use energy-efficient methods, for example, the method of mutual loading of two machines with articulated shafts. One machine operates in the mode of the motor – frequency converter, the second machine operates in the mode of the generator – industrial frequency network. Both machines are simultaneously tested under load and energy costs for testing are reduced due to its recuperation. The method requires a correct loading algorithm. The modeling of the method based on chain models does not consider the implementation feature. Thus, it is advisable to refine the simulation of the asynchronous machine testing system by the mutual load method. The method is based on strict models considering the coupling of machine torque on a common shaft, the operation of machines in the mode of frequency converter, non-sinusoidal supply voltage, saturation of steel, displacement of current in conductors, for example, based on the associated analysis of electromagnetic fields in both machines. The authors have applied the packages of electromechanical units with electrical and mechanical Ansys Simplorer ports and finite element analysis of electromagnetic fields Ansys Maxwell for refined simulation of the asynchronous machine testing system by the method of mutual loading. Experimental studies of the system have been carried out on laboratory equipment using certified devices. A refined simulation of an energy-efficient testing system of asynchronous machines by the method of mutual loading has been carried out. It is based on calculations of the electromagnetic field and allows us to read the transient and steady-state modes of operation of a two-machine unit with a common shaft. An automated stand has been created that allows testing asynchronous machines by the method of mutual loading. The developed refined simulation of electromechanical processes in asynchronous machines during tests by the method of mutual loading with associated calculations of electromagnetic fields in both machines provides calculated results with an error of no more than 5–7 % in comparison with 40 % error of calculations in the transient modes of operation using chain models.
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