### ANALYSIS OF CHARACTERISTICS OF HARDWARE MEANS FOR SOFTWARE CONTROL OF THE LONGITUDINAL FEED OF THE GRINDING WHEEL

#### Abstract

**Abstract: **The purpose of the work is to create productive hardware based on modern software to control technological processes’ parameters. Laplace transforms are performed to mathematically model the delayed components. For the first time a mathematical model of a computing block is proposed in the form of sequentially connected zero-order extrapolators and an aperiodic delay circuit, which is determined by the duration of the input signal processing process. A block diagram of programmable control system of the longitudinal feed of the grinding wheel is constructed and the transfer function is obtained. An information technology for adjusting the frequency characteristics of hardware using the neural network technology method is developed, which is to regulate the length of information links between the components of the transfer function. It is established that the change in the gain of the aperiodic chain affects the transmission coefficient of the control system and the phase characteristic does not change. Based on the discrete Laplace transform using the Matlab software environment with the Simulink extension, a scheme of computer simulation of the conversion process by the input hardware is constructed. The method of identification of the parameters of mathematical models of hardware for controlling the longitudinal flow of the grinding wheel is proposed.

**Key words:** frequency response method, hardware, performance, mathematical and computer simulation

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Gill C., Levine D., Schmidt. The design and performance of a real-time CORBA scheduling service, Int. J. Time-Critical Comput. Syst, 1999. http://citeseerx.ist.psu.edu/viewdoc/download? doi=10.1.1.136.2454&rep=rep1&type=pdf

Martinov G.M., Martinova L.I., Kozak N.V., Nezhmetdinov R.A., Pushkov R.L. Princip postroeniya raspredelennoj sistemy chpu s otkrytoj modul'noj arhitekturoj [Principles of constructing a distributed CNC system by technological machines using an open modular architecture]. Engineering Journal, ISSN 2072-3172, No 12, 2011; pp. 44-50. Russian.

Weck M., Wolf J. Introduction to STEP-NC, A standard providing data for modern NC machining enabling enhanced functionality. Laboratory for Machine Tools and Production Engineering Aachen University of Technology. Aachen. 2003. February 12. P. 52.

William C. Dunn. Fundamentals of Industrial Instrumentation and Process Control. ISBN:9780071457354. McGraw Hill Professional; 2005. USA. DOI: 10.1036/0071466932

Rybin Yu.K. Measuring Signal Generators, Signals and Communication Technology. ISSN 1860-4862. Springer International Publishing Switzerland; 2014. DOI: 10.1007/978-3-319-02833-0.

Kiryanov D.V. Samouchitel Mathcad [Tutorials Mathcad]. ISBN 5-94157-348.0 St. Petersburg, 2003. Russian.

Domnisoru C. Using Mathcad in Teaching Power Engineering. ISSN 0018-9359. IEEE Transactions on Education, Vol 48, No 1, 2005, pp. 157-161. DOI: 10.1109/TE.2004.837043.

Klepka A. Real time estimation of modal parameters of non-stationary systems using adaptive wavelet filtering and recursive least square algorithm. ISSN 1641-6414. Diagnostyka, Vol. 16, No 1, 2015, pp. 3-8.

Pavlenko I., Trojanowska J., Ivanov V., Liaposhchenko O. (2019) Scientific and Methodological Approach for the Identification of Mathematical Models of Mechanical Systems by Using Artificial Neural Networks. In: Machado J., Soares F., Veiga G. (eds), pp. 299-306, ISBN 978-3319-91333-9. Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering, vol 505. Springer, Cham. DOI: 10.1007/978-3-31991334-6_41.

Pavlenko I., Simonovskiy V., Ivanov V., Zajac J., Pitel J. (2019) Application of Artificial Neural Network for Identification of Bearing Stiffness Characteristics in Rotor Dynamics Analysis. In: Ivanov V. et al. (eds), pp. 325-335, ISBN 978-3-31993586-7. Advances in Design, Simulation and Manufacturing. DSMIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham.DOI:10.1007/978-3-319-93587-4_34.

Dorf R.C., Bishop R.H. Modern Control Systems. ISBN-10: 0-13-602458-0, Addison: Wesley: Prentice Hall; 2010.

Kotowski A. The method of frequency determination of impulse response components based on cross-correlation vs. fast Fourier transform. ISSN 1641-6414. Diagnostyka, Vol. 17, No 1, 2016, pp.59-64.

Ayasun S, Nwankpa C.O. Transformer tests using MATLAB/Simulink and their integration into undergraduate electric machinery courses. Online ISSN:1099-0542 Wiley Periodicals, Inc. Comput Appl Eng Educ, Vol. 14, No.2, 2006, pp. 142–150. DOI 10.1002/cae.20077.

Chaparro L.F. Signals and systems using MATLAB. ISBN 978-0-12-374716-7 Elsevier Inc. 2011.

Dyakonov V.P. Maple 9.5/10 v matematike, fizike i obrazovanii [Maple 9.5/10 in mathematics, physics and education]. ISBN: 5980032584. SOLON-PRESS; 2009. Russian.

Yenikieiev O.F, Abramskaya I.B, Yarovoy R.A. Komp'yuternaya sistema programmnogo zadaniya poperechnoj podachi shlifoval'nogo kruga [Computer system for program specification of the transverse feed of a grinding wheel]. ISSN 1991-3087. Journal of Scientific Publications of Post-Graduate Students and Doctoral Students. Fuel, No 11, 2014, pp. 174 - 181. Russian.

Yenikieiev O.F, Subotin О.V. Osnovi sintezu і proektuvannya slіdkuyuchih sistem verstatіv ta promislovih robotіv [Fundamentals of synthesis and design of follow-up systems of machine tools and industrial robots]. DDMA; 2008. Ukrainian. P. 268.

Wassermen F. Neurocomputer Technology: Theory and Practice. [Text]. - M .: Mir, 1992. –236 p.

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