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모델 파라미터 없는 쿠프만 연산자 기반의 영구자석 동기전동기의 속도제어

Model Parameter-free Velocity Control of Permanent Magnet Synchronous Motor based on Koopman Operator

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초록

This paper proposes a velocity control method for a permanent magnet synchronous motor (PMSM) based on the Koopman operator that does not require model parameter information except for pole-pair of the motor and external load. First, the Koopman operator is derived using observable functions and observation data. Then, the desired q-axis current corresponding to the desired velocity is generated using the relationship between the continuous-time Koopman operator and the dynamics of PMSM. Also, the dynamic equation of PMSM is expressed as a linear form in observable space using the discrete-time Koopman operator. Finally, it is applied to the linear quadratic regulator (LQR) to derive the final form of control input. To verify the proposed method, the conventional cascade PI controller and the LQR controller configured with the existing technique are compared with the proposed method in the viewpoint of q-axis current generation and velocity tracking performance in an environment with noise and external load.

Abstract

This paper proposes a velocity control method for a permanent magnet synchronous motor (PMSM) based on the Koopman operator that does not require model parameter information except for pole-pair of the motor and external load. First, the Koopman operator is derived using observable functions and observation data. Then, the desired q-axis current corresponding to the desired velocity is generated using the relationship between the continuous-time Koopman operator and the dynamics of PMSM. Also, the dynamic equation of PMSM is expressed as a linear form in observable space using the discrete-time Koopman operator. Finally, it is applied to the linear quadratic regulator (LQR) to derive the final form of control input. To verify the proposed method, the conventional cascade PI controller and the LQR controller configured with the existing technique are compared with the proposed method in the viewpoint of q-axis current generation and velocity tracking performance in an environment with noise and external load.

참고문헌 (11)

  1. T. Tarczewski, "A state-space approach for control of NPC type 3-level sine wave inverter used in FOC PMSM drive", Bulletin of the Polish Academy of Sciences Technical Sciences, 62(3), pp.439~448 (2014), Walter de Gruyter GmbH[DOI]
  2. S. Bolognani, "Design and Implementation of Model Predictive Control for Electrical Motor Drives", IEEE Transactions on Industrial Electronics, 56(6), pp.1925~1936 (2009), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  3. Y. Kim, "A DOB based Robust Current Control of Permanent Magnet Synchronous Motor", International Conference on Control, Automation and Systems (ICCAS) (2015)
  4. Youngwoo Lee, "LPV $\mathcal {H}_\infty$ Control with Disturbance Estimation for Permanent Magnet Synchronous Motors", IEEE Transactions on Industrial Electronics, 65(1), pp.488~497 (2018), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  5. B. O. Koopman, "Hamiltonian systems and transformations in Hilbert space", National Academy of Sciences of the United States of America, 17(5), pp.315~318 (1931)[DOI]
  6. J. L. Proctor, "Generalizing koopman theory to allow for inputs and control", SIAM journal on Applied Dynamical Systems, 17(1), pp.909~930 (2018)[DOI]
  7. M. O. Wiliams, "A data-driven approximation of the Koopman operator : Extending dynamic mode decomposition", Journal of Nonlinear Science, 25(6), pp.1307~1346 (2015)[DOI]
  8. Q. Li, "Extending dynamic mode decomposition with dictionary learning : A data-driven adaptive spectral decomposition of the koopman operator", Chaos : An Interdisciplinary Journal of Nonlinear Science, 27(10) (2017)[DOI]
  9. D. A. Haggerty, "Modeling, reduction, and control of a helically actuated inertial soft robotic arm via the koopman operator", IEEE International Conference on Robotics and Automation (ICRA) (2021)
  10. G. Marmakous, "Derivative-based koopman operators for real-time control of robotic systems", IEEE Transaction on Robotics, 37(6), pp.2173~2192 (2021)[DOI]
  11. B. -I. Yesid, "Algebraic Identification Approach for Parameter Estimation in Surface-Mounted Permanent Magnet Synchronous Motors", 2021 IEEE 5th Colombian Conference on Automatic Control (CCAC) (2021)

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