Current controller design of permanent magnet synchronous motor based on indirect adaptive robust control
TAO Rui-chao
MA Jie
ZHAO Hui
Abstract：This paper addresses the problem of non-ideal back emf minimization in permanent magnet synchronous motor (PMSM) and proposes an indirect adaptive robust control (IARC) with the robust recursive least square (RRLS) adaptation law. Based on the adaptive robust control (ARC), the least square adaptive law is synthesized in accordance with the motor model and then a correction factor is added to enhance the robustness of the adaptation law. Therefore, a better estimation of non-ideal back emf can be obtained with IARC. The stability of the system with the proposed controller is proved. Based on the PMSM model with non-ideal back emf, the current controller designed by IARC holds the better performance of tracking error and disturbance suppression than that by direct ARC. Finally, the effectiveness of the proposed method is demonstrated by the simulation and experiment.
Keywords：parameter estimationrobust controlpermanent magnet synchronous motorcurrent control
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 296-302 )