| Issue |
EPJ Web Conf.
Volume 224, 2019
IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|
|
|---|---|---|
| Article Number | 05005 | |
| Number of page(s) | 11 | |
| Section | Mechanical Engineering and Material Sciences | |
| DOI | https://doi.org/10.1051/epjconf/201922405005 | |
| Published online | 09 December 2019 | |
https://doi.org/10.1051/epjconf/201922405005
Simulation Modelling and Parametric Synthesis of Metal Working Machine Tools Mechatronic Systems of Surface Generation
1
Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
2
Budapest University of Technology and Economics, HU-1111 Budapest, Hungary
3
Csepel Holding PLC, HU-1211 Budapest, Hungary
* e-mail: v_molodtsov@mail.ru
Published online: 9 December 2019
This paper presents the principles of the designing metal working machine tools mechatronic systems of surface generation which are optimal from the point of view of reproducing given part profiles. It is shown that the degree of their optimality is determined by the proximity of their characteristics to the frequency characteristics of an ideal low-pass filter. Mathematical methods for building compact mathematical models of the drive hardware, adequately describing the inertial and elastic characteristics of the elements of its structure, is described. These models are convenient for simulating control loops of the machine tools feed drives. A method for the parametric synthesis of a two-mass mathematical model of a subordinate control system for a feed drive with an elastic-dissipative coupling between equivalent lumped masses which simulate a moving unit and rotating elements of the drive mechanism is proposed. The synthesis problem is reduced to solving a system of nonlinear equations. Examples to demonstrate the proposed methods and models capabilities are given.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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