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http://dx.doi.org/10.7746/jkros.2022.17.3.308

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

Kim, Junsik (Dep. of Electrical and Electronic Engineering, Hanyang University)
Woo, Heejin (Dep. of Electrical and Electronic Engineering, Hanyang University)
Choi, Youngjin (Dep. of Electrical and Electronic Engineering, Hanyang University)
Publication Information
The Journal of Korea Robotics Society / v.17, no.3, 2022 , pp. 308-313 More about this Journal
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.
Keywords
Permanent Magnet Synchronous Motor (PMSM); Data-Driven Control; Koopman Operator;
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