Abstract
Computer visualization of optimality criterion’s weighting coefficients is solved by modelling tools of MATLAB SIMULINK. The excavator’s AC drive is studied as an electromechanical system. Thus the actual practical problem is studied – improvement of mining excavator’s rotary drive performance. Asset target is designed by differential equations. Optimality criterion is measured as a result of minimization of squared deviation location and controlled impacts. Algorithm of optimal control is presented according to Pontryagin’s maximum theory. Choosing of weighting coefficients resides into finding the intersection of the permissible values surfaces of the elastic moment and the possible values of the gap in the mechanical part of the rotary mechanism’s electric drive during the transition process. The time of the transition process is directly related to the performance of the excavator, and the nature of the transition process - with the safety of the equipment. The nature of the transition process depends on the dynamic loads determined by the gap in the tooth zone of the rotation mechanism at the initial moments of rotation. Computer visualization of the weighting factor selection process as a result of using MATLAB SIMULINK tools was demonstrated. This method of choosing the optimality criterion coefficients helps to reduce the maximum value of the elastic moment throws while reducing the time of the transition process by taking into account the operating conditions of a particular excavator. #CSOC1120
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kurochkin, N.S., Kochetkov, V.P., Platonova, E.V., Glushkin, E.Y., Dulesov, A.S.: Combined Optimal Control System for excavator electric drive. In IOP Conference Series: Materials Science and Engineering, vol. 327, pp. 1–6 (2018). https://doi.org/10.1088/1757-899X/327/1/011002
Strelnikov, A., Markov, S., Rattmann, L., Weber, D.: Theoretical features of rope shovels and hydraulic backhoes using at open pit mines. In: International Innovative Mining Symposium, E3S Web of Conferences, vol. 41, p. 01003. EDP Sciences (2018). https://doi.org/10.1051/e3sconf/20184101003
Demirel, N., Taghizadeh, A., Khouri S., Tyuleneva, E.: Optimization of the excavator-and-dump truck complex at open pit mines – the case study. In: International Innovative Mining Symposium, E3S Web of Conferences, vol. 41, p. 01006. EDP Sciences (2018). https://doi.org/10.1051/e3sconf/20184101006
Kochetkov, V.P.: Fundamentals of non-traditional control theory. Abakan (2013). 215 p. (in Russian)
Klassen, S.V., Klassen, T.S., Shtein, D.A., Volkov, A.G., Dubkova, R.Yu., Luft, S.V.: Study of a dual-loop subordinate control system for a DC-DC converter with galvanic isolation. In: 19th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM), Erlagol, Russia, pp. 6403–6410 (2018). https://doi.org/10.1109/edm.2018.8435034
Ross, I.M., Proulx, R.J., Karpenko, M., Gong, Q.: Riemann-Stieltjes optimal control problems for uncertain dynamic systems. J. Guidance Control Dyn. 38(7), 1251–1263 (2015). https://doi.org/10.2514/1.G000505
Mardanov, M.J., Melikov, T.K.: On the theory of singular optimal controls in dynamic systems with control delay. Comput. Math. Math. Phys. 57(5), 749–769 (2017). https://doi.org/10.1134/S0965542517050086
Balasubramaniyan, S., Srinivasan, S., Kebraei, H., Subathraa, B., Balas, V.E., Glielmo, L.: Stochastic optimal controller design for medium access constrained networked control systems with unknown dynamics. Intell. Decis. Technol. 11(2), 223–233 (2017). https://doi.org/10.3233/IDT-170290
Ostrovlyanchik, V.Yu., Popolzin, I.Yu., Kubarev, V.A., Marshev, D.A.: Mechanical characteristics of a double-fed machine in asynchronous mode and prospects of its application in the electric drive of mining machines. In IOP Conference Series: Earth and Environmental Science, vol. 84, pp. 1–9 (2017). https://doi.org/10.1088/1755-1315/84/1/012030
Ostrovlyanchik, V.Yu., Popolzin, I.Yu.: Equivalent model of a dually-fed machine for electric drive control systems. In IOP Conference Series: Materials Science and Engineering, vol. 354, pp. 1–7 (2018). https://doi.org/10.1088/1757-899X/354/1/012017
Vostrikov, A.S., Prokhorenko, E.V., Filosov, P.: Multi-criteria synthesis of multidimensional control of alternating current electric drive. Nauchnyy vestnik Novosibirskogo gosudarstvennogo tekhnicheskogo universiteta [Sci. Bull. Novosibirsk state tech. Univ.] 1, 39–50 (2018). (in Russian)
Liu, X., Zuo, Y.: CompPD: a MATLAB package for computing projection depth. J. Stat. Softw. 65(2), 1–21 (2015). https://doi.org/10.18637/jss.v065.i02
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kurochkin, N.S., Kochetkov, V.P., Kochetkov, M.V., Noskov, M.F., Kolovsky, A.V. (2020). Computer Visualization of Optimality Criterion’s Weighting Coefficients of Electromechanical System. In: Silhavy, R. (eds) Applied Informatics and Cybernetics in Intelligent Systems. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1226. Springer, Cham. https://doi.org/10.1007/978-3-030-51974-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-51974-2_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-51973-5
Online ISBN: 978-3-030-51974-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)