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Information × Registration Number 0206U000440, 0103U000111 , R & D reports Title Adaptive and high-intellectual control algorithms of alternating-current electric mathins popup.stage_title Head Yevgeny Potapenko, Registration Date 26-01-2006 Organization Zaporizhzhia National Technical University popup.description2 Subject of inquiry - the electric drive with induction motors. The purpose of the given work is the development of adaptive and highly intellectual (neural network, fuzzy logic, genetic algorithms ) algorithms of control of induction motors with the improved dynamic characteristics, small volume of calculations which eliminate influence of change of motor parameters. New algorithms of an estimation of errors of current and voltage sensors in a normal operating mode are developed. Synthesized methods of estimation of parameters and vector of state, laws of management, and also analog-discrete filter of voltage and current substantial improve dynamic, static and energetic characteristics of the induction drive with vector management relatively existed drives of specified type. Rational use of traditional approaches and principles of synthetic intellect allow raising the quality of management during change of object parameters. Elaborations are widen the range of regulation of the rotor speed with induction motor to 1: 150, which is widen the field of use these cheap and reliable electric drive. Developed algorithms of management more then in 6 times reduce the quality of calculations relatively existed algorithms. This is allowed to use cheaper equipment, to do faster reprogramming and the adjustment of programs. The results can be used at any drives of alternating current as with vector management as with direct management of moment and flow of adhesion. Product Description popup.authors popup.nrat_date 2020-04-02 Close