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Adaptive Algorithms for a Servo System Using a Linear Electric Motor

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Abstract

This paper presents a mathematical model of a servo system consisting of a linear electric motor pulling a hydraulic drive valve. An analytical description of its nonlinear traction characteristic, as well as the resulting reaction from the action of the electromagnetic force and the elastic force of the centering spring, is presented. The adaptive laws of control of a servo system and a comparative analysis of the effectiveness of adaptive algorithms with a reference model and those using the motions separation technique are given. Simulation results of the model of the servo system with controllers in the MATLAB/Simulink software package are presented to demonstrate the effectiveness of the proposed approaches in this paper.

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REFERENCES

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  2. Kuznetsov, V.E., Chung, P.T., and Lukichev, A.N., Synthesis of adaptive regulator for servo system with linear electric motor, Proc. 2019 XXII Int. Conf. on Soft Computing and Measurements (SCM), Piscataway, NJ: Inst. Electr. Electron. Eng., 2019.

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  4. Bortsov, Yu.A., Polyakhov, N.D., and Putov, V.V., Elektromekhanicheskie sistemy s adaptivnym i modal’nym upravleniem (Electromechanical Systems with Adaptive and Modal Control), Leningrad: Energoatomizdat, 1984.

  5. Kuznetsov, V.E., Chung, P.T., and Konstantinov, S.V., Expanding control range of nonlinear precision tracking systems with a linear electric motor by means of adaptive control, Russ. Electr. Eng., 2019, vol. 90, no. 12.

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Authors and Affiliations

  1. St. Petersburg Electrotechnical University “LETI”, 197376, St. Petersburg, Russia

    V. E. Kuznetsov, A. D. Skakun, Phan Thanh Chung & Nguyen Dinh Khanh

Authors
  1. V. E. Kuznetsov
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  2. A. D. Skakun
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  3. Phan Thanh Chung
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  4. Nguyen Dinh Khanh
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Corresponding author

Correspondence to V. E. Kuznetsov.

Additional information

Translated by F. Baron

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Kuznetsov, V.E., Skakun, A.D., Chung, P.T. et al. Adaptive Algorithms for a Servo System Using a Linear Electric Motor. Russ. Electr. Engin. 92, 169–174 (2021). https://doi.org/10.3103/S1068371221030081

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  • DOI: https://doi.org/10.3103/S1068371221030081

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