Abstract
Real-time implementation of control systems is considered. The relationship between the complexity of the object being controlled and the duration of the control cycle is established: with increase in complexity, the cycle is shorter. That imposes stricter requirements on the speed of control systems. To meet those requirements, the speed of the electronic and other components of the control system may be increased, and the control architecture may be optimized. A promising approach to the real-time control of complex objects is to use memory-centric architecture.
REFERENCES
Zelenskii, A.A., Kuznetsov, A.P., Ilyukhin, Yu.V., and Gribkov, A.A., Feasibility of motion control of industrial robots, CNC machine tools and mechatronic systems. Part 1, Vestn. Mashinostr., 2022, no. 11, pp. 43–51. https://doi.org/10.36652/0042-4633-2022-11-43-51
Fanuc Corporation, Brochures of FANUC’s products, 2011–2021. https://www.fanuc.co.jp/en/product/catalog/index.html
ABB, ABB industrial robots, 2021. https://new.abb.com/products/robotics/industrial-robots
ABB, ABB robotics: Product range, 2018. https://library.e.abb.com/public/07ddcb74ba6f42cf91f32f9041858eb5/ABB-Robotic-product-range-brochure-2018-RevE.pdf
KUKA AG, Industrial robots from KUKA, 2021. https://www.kuka.com/en-de/products/robot-systems/industrial-robots
Yaskawa Industrial Robots, America, Inc., 2021. https://www.motoman.com/en-us/products/robots/industrial
Yaskawa Europe GmbH, Yaskawa: Catalogue of MOTOMAN robots, 2018. https://rtcontrol.com/wp-content/uploads/2018/03/yaskawa-robots.pdf
DMG MORI, Machine overview, 2021. https://ru.dmgmori.com/products/machines
Haas Automation, Inc., CNC machine tools, 2021. https://www.haascnc.com/index.html
STAN Ltd., Metalworking equipment, 2021. https://www.stan-company.ru/catalog/metalloobrabatyvayushchee-oborudovanie/
SLM Solutions, Industrial metal additive manufacturing machines, 2021. https://www.slm-solutions.com/products-and-solutions/machines/
Aksis, CNC machining center: Description, general provisions, 2018–2020. https://www.axissteel.ru/centr-s-chpu/
Sodick, Machine tools, 2021. https://www.sodick.co.jp/en/product/tool/
VirtualExpo Group, EBM 3D printer A2X, 2021. https://pdf.directindustry.com/pdf/arcam/arcam-a2-system-platform/19734-644505.html
Jinan Senfeng Laser Technology Co., Ltd., SF20040R: Ultra large metal laser cutter, 2021. https://www.sfcnclaser.com/ultra-large-metal-laser-cutter.html
GF Machining Solutions Management SA, AgieCharmilles LASER P 600/1000/1200/4000 U, 2021. https://www.gfms.com/content/dam/gfms/pdf/laser/laser-p-u/en/agiecharmilles-laser-p-600-1000-1200-4000-u_en.pdf
RuStan Ltd., Foton ABN-30R desktop laser metal marker, 2005–2021. https://rustan.ru/stanki/lazernye_stanki/lazernye_volokonnye_stanki_po_metallu/foton-ylh-30c
Averin, G.V. and Zvyagintseva, A.V., The statistical and information entropy relationship when describing the complex system state, Nauchn. Vedom BelGU. Ser. Mat. Fiz., 2016, no. 20 (241), iss. 44, pp. 105–116.
Dulesov, A.S., Semenova, M.Yu., and Khrustalev, V.I., Entropy properties of a technical system, Fundam. Issled., 2011, no. 8-3, pp. 631–636.
Leiserson, C.E., Thompson, N.C., Emer, J.S., et al., There’s plenty of room at the Top: What will drive computer performance after Moore’s law? Science, 2020, vol. 368, p. 1079.
Reshetnikova, M., The microchip deficit: how it arose and what is the threat to the electronics industry, Oct-ober 4, 2021. https://trends.rbc.ru/trends/industry/60ed32189a7947381fb9771e
Koshkin, V.L., Apparatnye sistemy chislovogo programmnogo upravleniya (Hardware Numerical Control Systems), Moscow: Mashinostroenie, 1989.
Heyn, J., Gümbel, P., Bobka, P., et al., Application of artificial neural networks in force-controlled automated assembly of complex shaped deformable components, Procedia CIRP, 2019, vol. 79, pp. 131–136.
Kozhevnikov, V.V., Leont’ev, M.Yu., Prikhod’ko, V.V., et al., Neural network technologies for building intelligent robot control systems, Uch. Zap. Ul’yanovsk. Gos. Univ. Ser.: Mat. Inf. Tekhnol., 2019, no. 2, pp. 36–53.
Jin, Z., Liu, L., Gong, D., and Li, L., Target recognition of industrial robots using machine vision in 5G environment, Front. Neurorobot., 2021, vol. 15, p. 624466. https://doi.org/10.3389/fnbot.2021.624466
Bergamini, L., Sposato, M., Peruzzini, M., et al., Deep learning-based method for vision-guided robotic grasping of unknown objects, Adv. Eng. Inf., 2020, vol. 44, p. 101052.
Kombarov, V.V., Aksenov, E.A., and Krizhivets, E.A., Determination of physical parameters of CNC machines execution units, Aviats.-Kosm. Tekh. Tekhnol., 2011, no. 7 (84), pp. 109–114.
Bakhur, V., Intel unveiled big architectural changes in new generations of processors, August 19, 2021. https://www.cnews.ru/news/line/2021-08-19_intel_predstavila_bolshie_arhitekturnye
Ezhova, N.A. and Sokolinskii, L.B., Survey of parallel computation models, Vestn. Yuzhno-Ural. Gos. Univ. Ser. Vych. Mat. Inf., 2019, vol. 8, no. 3, pp. 58–91.
Juurlink, B. and Meenderinck, C., Amdahl’s law for predicting the future of multicores considered harmful, ACM SIGARCH Comput. Archit. News. 2012, vol. 40, no. 2, pp. 1–9.
Zelenskii, A.A., Abdullin, T.K., Ilyukhin, Yu.V., et al., FPGA-based high-performance digital control system for multicoordinate machine tools and industrial robots, Russ. Eng. Res., 2020, vol. 40, pp. 58–60. https://doi.org/10.3103/S1068798X20010256
Zelenskii, A.A., Khar’kov, M.A., Ivanovskii, S.P., et al., High-performance numerical control system based on programmable logic devices, Vestn. Voronezhsk. Gos. Tekh. Univ., 2018, vol. 14, no. 5, pp. 8–12.
Kalyaev, I. and Zaborovskii, V., Artificial intelligence: From metaphor to technical solutions, Control Eng. Rossiya, 2019, no. 5 (83), pp. 26–31.
Kuznetsov, A.P., Trends in development and efficient production of machines. Part 1. Physical basis of production systems development, Stankoinstrument, 2021, no. 2, pp. 40–48.
Funding
The work was supported by the Ministry of Science and Higher Education of the Russian Federation, project no. FSFS-2021-0004 as a part of the program for fundamental research by educational institutions (2020–2022).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that they have no conflicts of interest.
Additional information
Translated by B. Gilbert
Part 1 may be found in Russian Engineering Research, no. 2, 2023.
About this article
Cite this article
Zelenskiy, A.A., Kuznetsov, A.P., Ilyukhin, Y.V. et al. Feasibility of Controlling the Motion of Industrial Robots, CNC Machine Tools, and Mechatronic Systems. Part 2. Russ. Engin. Res. 43, 534–540 (2023). https://doi.org/10.3103/S1068798X23050489
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1068798X23050489