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Improving Characteristics of a Linear Electric Motor of a Servo System by Means of Adaptive Control with an Exo-Model


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DOI: https://doi.org/10.15866/ireaco.v10i6.13080

Abstract


This article focuses on creating a simulation model of an electric motor engaging linear forces to move a servo drive hydraulic valve. The new simulation model of the electric motor gives an analytical description of nonlinear features that quite accurately match with the experimental dependences. There is a representation of the nonlinear static mechanical characteristics of the linear electric motor with an analytical thrust characteristics and the reaction of the electromagnetic force and the elastic spring force of a mechanical spring. A synthesis is given by the method of Lyapunov functions of the adaptive control algorithm with an exo-model in the form of multiplication of fast and slow subsystems for multi-speed technical servo systems with limited uncertainty. The results of the practical studies are given on the example of an adaptive control system of an electrohydraulic servo with a linear valve control motor.
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Keywords


Linear Electric Motor; Simulation Model; Adaptive Control; Exo-Model; Servo System

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References


Raymond E. T., Chenoweth C. C. Aircraft Flight Control Actuation System Design, Society of Automotive Engineers, Inc., 1993, 270

Developments in design of electro hydraulic control valves from their initial design concept to present day design and applications J. C. Jones, BE (Hons) Monash Technical Services Manager, Moog Australia PTY LTD. Workshop on Proportional and Servovalves Monash University, Melbourne, Australia. November 1997.

Dr.-Ing. Christoph Boes. The advantages of new proportional and servo valves with integrated digital electronics Moog GmbH, Böblingen, Germany, Moog Fluid Power.

Servovalves Direct Drive Servovalves D633/D634 Series, Moog Technical Data.

P. Redko, Improved reliability and improved performance of electrohydraulic servo drives. Moscow Yanus-K; Engineering Center of Moscow State Technical University 'Stankin', 2002, 232 pp.

P. Redko, A. Ambarnikov, S. Ermakov, V. Karev, A. Selivanov, O. Trifonov, Hydraulic units and drives of aircrafts' flight control systems: an information guide, Мoscow Publishing House 'Olita', 2004. 472 pp.

V. Kuznetsov, S. Konstantinov, N. Polyakhov and others. Electrohydraulic actuators of aircraft flight surface with adaptive control. St. Peterburg, Russia: Publishing House of the ETU "LETI", 2011 - 513p.

Landau J. D. Adaptive control systems. The model reference approach. N. Y.: Dekker,1979.

Bortsov Yu. A., Polyakhov N. D., Putov V. V. Electromechanical systems with adaptive and modal control. Leningrad, USSR: Energoatomizdat, 1984, 216 pp.

Putov V. V., Sheludko V. N. Izvestia, New approach in constructing search-free adaptive control systems for nonlinear dynamic plants with indefinite description, SPbETU 'LETI'. 2008. № 4. pp. 37-50.

Polyakhov N.D., Zhang Yang Modeling and control of electro-hydrostatic actuator systems with a model reference adaptive controller. Proceedings of the IEEE North West Russia Section, 2012. – №4 pp. 16-20

Polyakhov, N. D., Stotckaia, A. D., Nguyen, D.P., An adaptive control of electromechanical plant with limited uncertainty, Proceedings of the 19th International Conference on Soft Computing and Measurements, SCM 2016 pp. 268-271
http://dx.doi.org/10.1109/scm.2016.7519688

Polyakhov N.D., Stotckaia A.D. The Functionally Similar to Adaptive Nonlinear Algorithm for Control of Dynamic Plant with Limited Uncertainty (2016) MATEC Web of Conferences, 75, art. no. 09003
http://dx.doi.org/10.1051/matecconf/20167509003

Andriievskiy B. R., Stotskiy A. A. , Fradkov A. L. Velocity gradient algorithms in control and adaptation, Avtomatika i Telemekhanika, no. 12, pp. 3-39, 1988

Putov, V., Sheludko, V., Putov, A., Stotckaia, A., Adaptive Control System of Transport Wheels Electromechanical Braking, (2014) International Review of Automatic Control (IREACO), 7 (5), pp. 492-499.
http://dx.doi.org/10.15866/ireaco.v7i5.3731

Kuznetsov V.E., Polyakhov, N.D. Adaptive control of technical plants based on exo-model (2015) Proceedings of International Conference on Soft Computing and Measurements, SCM 2015, art. no. 7190425, pp. 106-108.
http://dx.doi.org/10.1109/scm.2015.7190425

Kuznetsov, V. E. Technical object control quality enhancement based on exo-model, Proceedings of the 19th International Conference on Soft Computing and Measurements, SCM 2016 22 July 2016, Article number 7519756, Pages 285-287
http://dx.doi.org/10.1109/scm.2016.7519756

Kuznetsov, V., Design of Adaptive Control Technical Systems with Limited Uncertainty Based on Exo-Model, (2016) International Review of Automatic Control (IREACO), 9 (4), pp. 234-241.
http://dx.doi.org/10.15866/ireaco.v9i4.9386

Polyakhov N.D., Stotckaia A.D., Kuzmina T.O. Mathematical Model of the Complete Electromagnetic Rotor Suspension// Procedia Engineering 150 (2016) pp.571 – 578
http://dx.doi.org/10.1016/j.proeng.2016.07.042

Stotckaia, A., Polyakhov, N., Development and Investigation of Radial Active Magnetic Bearing's Mathematical Model, (2014) International Review of Electrical Engineering (IREE), 9 (3), pp. 519-526.

Norbert L. Schmitz, Donald W. Novotny, Introductory electromechanics, 1965, Technology & Engineering, 315 p.

Stolov L. I, Afanasiev A. Yu. Torque DC Motors, Moscow, Energoatomizdat, 1989, 224 pp.

Reshetnilov E.M., Sablin Yu. A., Grigoriev V.E. and others, Electromechanical converters of hydraulic and gas drives, , Moscow, 'Mashinostroenie', 1982, 144 pp.

Andrievskiy B. R., Fradkov A. L., Kaufman H. Necessary and sufficient conditions for almost strict positive realness. and their applications to direct implicit adaptive control systems, Proc. American Control Conference, 1994.
http://dx.doi.org/10.1109/acc.1994.752261

Fradkov A., Hill D. Exponential feedback passivity and stabilizability of nonlinear systems, Automatica. – 1998. – V. 34. – № 6. – P. pp. 697 -703

V. E. Kuznetsov, Y. A. Bortsov, N. D. Polyakhov, P. Crnosija Z. Kovacic, A. Mujanovic,”Model reference signal adaptive control of industrial direct-current motor drives”, Proceedings of the 6th Mediterranean Electrotechnical Conference, Ljubljana (1991), pp. pp. 824 -827
http://dx.doi.org/10.1109/melcon.1991.161968

A, Mujanovic, P. Crnosija, Z. Ban, Analysis of transient error in indirect signal adaptation MRAS, Proceeding of the 2nd Electrotechnical and Computer Conference, Portoroz, 1993. pp. 261-264.


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