Increasing energy efficiency of asynchronous electric drive control by Takagi-Sugeno method

The article is devoted to development of the control models for asynchronous electric drives. The modern microprocessor technique allows realizing any algorithm of electric drive functioning, therefore, there is a search capability of new control algorithms asynchronous electric drives with the criterion increase in their energy efficiency. The work offers scalar and vector type control models based on one of the artificial intelligence areas: fuzzy logic. In case of a scalar type control modeling, the cosφ range of values of the membership function was selected as one of the the integral parameters of the electric drive energy efficiency. A mathematical model of an electric drive was considered in case of vector control for an asynchronous electric drive taking into account non-linearity of its magnetization response. The algorithm implementing saturation of the drive magnetic system was made using the Takagi-Sugeno fuzzy inference.