Avdeeva Ol'ga Viktorovna, Senior lecturer, sub-department of automation and remote control, Penza State University (40 Krasnaya street, Penza, Russia), email@example.com
Artamonov Dmitriy Vladimirovich, Doctor of engineering sciences, professor, sub-department of autonomous information and control systems, Penza State University (40 Krasnaya street, Penza, Russia), firstname.lastname@example.org
Nikitin Aleksandr Sergeevich, Candidate of engineering sciences, deputy head of the department of perspective technologies of instrument engineering, Production association "Start" named after M.V. Protsenko (1 Mira avenue, Zarechny, Penza region, Russia), email@example.com
Semenov Anatoliy Dmitrievich, Doctor of engineering sciences, professor, sub-department of automation and remote control, Penza State University (40 Krasnaya street, Penza, Russia), firstname.lastname@example.org
Background. The object of research is the process of electric erosion forming of diamond abrasive wheels as well as the automation of the said process. The study is aimed at improving the productivity and decreasing the energy consumption of the process of electric erosion machining on the basis of extreme combined control.
Materials and methods. The authors used the methods of the modern theory of automatic control and automation of technological processes, the probability and mathematical statistics theory, computer modeling.
Results. A synthesized extreme combined system of control of the electric erosion forming of diamond abrasive wheels allows increasing of the said process productivity and decreasing its energy consumption.
Conclusions. The research, conducted on mathematical models, showed that the application of the extreme combined control of electric erosion forming enables increasing the stability of the process by 18 %, extremum maintenance accuracy − by 16 %, productivity − by 20 %, and decreasing energy consumption by 10 %.
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2. Semenov A. D., Avdeeva O. V., Nikitkin A. S. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki [University proceedings. Volga region. Engineering sciences]. 2012, no. 1 (21), pp. 3–11.
3. Egupov N. D. Metody robastnogo, neyronechetkogo i adaptivnogo upravleniya [Methods of robust, neurofuzzy and adaptive control]. Moscow: Izd-vo MGTU im. N. E. Baumana, 2001, 744 p.