Open AccessModel‐free adaptive discrete‐time integral terminal sliding mode control for PMSM drive system with disturbance observer
Author(s) -
Zhao Yang,
Liu Xudong,
Yu Haisheng,
Yu Jinpeng
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2019.0966
Subject(s) - control theory (sociology) , robustness (evolution) , terminal sliding mode , electronic speed control , permanent magnet synchronous motor , integral sliding mode , sliding mode control , computer science , control engineering , discrete time and continuous time , observer (physics) , controller (irrigation) , engineering , magnet , nonlinear system , mathematics , control (management) , physics , statistics , quantum mechanics , artificial intelligence , biology , mechanical engineering , agronomy , biochemistry , chemistry , electrical engineering , gene
In this study, a novel speed control algorithm that combines the model‐free adaptive discrete‐time integral terminal sliding mode control (MFA‐DITSMC) method and non‐linear disturbance observer (NDO) is presented for a permanent magnet synchronous motor (PMSM) drive system. To improve the robustness and assure excellent response speed, the MFA‐DITSMC method is proposed and the designed process of a speed controller is divided into two steps. Firstly, the motion equation of the PMSM is converted into a discrete‐time form and then the compact‐format dynamic linearisation model is obtained. Secondly, the MFA speed controller is constructed by using the DITSMC method. Moreover, aiming at the deterioration of control precision caused by unknown lumped disturbances that exist in a control system, the NDO is devised to estimate and further reject disturbance. Finally, the effectiveness of the proposed algorithm is illustrated by simulation and experiments, and the results demonstrate that the designed speed controller has satisfactory dynamic response performance and strong robustness.