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Models and methods for linear motor control in industrial processes

Gorozhankin Anton Igorevich  (Graduate student, Perm National Research Polytechnic University)

Bezukladnikov Igor Igorevich  (Candidate of technical Sciences, Associate Professor, Perm National Research Polytechnic University)

Mechatronic systems for various purposes are currently being actively developed. CNC machines, robotic manipulators, three-dimensional printing systems, medical robotics are just some of the typical applications of such devices. A special case of modern mechatronic systems are systems using the so-called Permanent magnet synchronous linear motors. The features of such engines do not allow for high-quality control using classic PID controllers, especially under conditions of random alternating loads and high requirements for the inadmissibility of overshoot, positioning accuracy, etc. This article is devoted to the consideration of algorithms and methods currently used for control systems based on linear motors. In addition, the article also provides a linear motor model performed in the LabView hardware-software (HIL) environment.

Keywords:сontrol system; linear motor; PID-control; fuzzy contoller; adaptation models.
 

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Citation link:
Gorozhankin A. I., Bezukladnikov I. I. Models and methods for linear motor control in industrial processes // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№06. -С. 59-66 DOI 10.37882/2223-2966.2020.06.07
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