2021
DOI: 10.1109/access.2021.3117363
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Backstepping Nonsingular Terminal Sliding Mode Control for PMSM With Finite-Time Disturbance Observer

Abstract: Aiming at the speed regulation problem of permanent magnet synchronous motor (PMSM) drives, a novel backstepping nonsingular terminal sliding mode control (BNTSMC) method with finitetime disturbance observer (FTDO) is proposed. In order to ensure excellent tracking and anti-disturbance performance, the backstepping nonsingular terminal sliding mode speed controller based on equivalent motor model and the recursive principle is designed for PMSM. The benefits of this approach are that the controller has asympto… Show more

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Cited by 44 publications
(30 citation statements)
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“…According to (2) and (3), the currents i m = i md i mq T flowing through the MDU is not directly regulated by the terminal voltages u e = u ed u eq T , but controlled by the currents i e = i ed i eq T flowing through the EC. Inspired by the idea of backstepping control, in which the complex nonlinear control system is decomposed into several subsystems by introducing virtual control variables [28], [29], the current control of the LCL filter-based EME can also be decomposed into two simple subsystems, one to adjust the currents i m to track the reference ones i * m by accurately calculating the desired currents i * e , and the other to force the currents i e to track the desired by exactly controlling the command voltages u * e . That is to say, the currents i * e are selected as the intermediate control variables.…”
Section: ) Dynamic Equation Of the Interface Filtermentioning
confidence: 99%
See 1 more Smart Citation
“…According to (2) and (3), the currents i m = i md i mq T flowing through the MDU is not directly regulated by the terminal voltages u e = u ed u eq T , but controlled by the currents i e = i ed i eq T flowing through the EC. Inspired by the idea of backstepping control, in which the complex nonlinear control system is decomposed into several subsystems by introducing virtual control variables [28], [29], the current control of the LCL filter-based EME can also be decomposed into two simple subsystems, one to adjust the currents i m to track the reference ones i * m by accurately calculating the desired currents i * e , and the other to force the currents i e to track the desired by exactly controlling the command voltages u * e . That is to say, the currents i * e are selected as the intermediate control variables.…”
Section: ) Dynamic Equation Of the Interface Filtermentioning
confidence: 99%
“…Indeed, (29) also specifies the direction of disturbance rejection that we can counteract u il by compensating for disturbance currents, while offsetting disturbance voltages u l to completely eliminate the errors. Various disturbance estimation and attenuation methods have been developed, such as extended state observer [31], finite-time disturbance observer [29], nonlinear disturbance observer [32]- [34], and UIO [35], [36]. For these approaches, the estimated lumped disturbances are employed for feedforward compensation control.…”
Section: Disturbance Analysis and Suppressionmentioning
confidence: 99%
“…Article [32][33][34][35] used a hybrid technique between the terminal sliding mode and backstepping control to achieve speed regulation despite uncertainties and disturbances, this latter contributed to giving a relatively robust control and stabilizing the steady state error. However, the phenomenon of chattering, overshoot and undershoot are present during the change of speed and during the application of the torque.…”
Section: Introductionmentioning
confidence: 99%
“…When the strong external disturbance occurs, the control accuracy of model predictive control will decrease. Many observer methods have been proposed to enhance the control performance of the system, such as sliding mode observer (SMO) [28], extended state observer [29], and nonlinear disturbance observer [30,31]. Through these methods, disturbance is estimated and online compensated to strengthen anti-disturbance performance of the system.…”
Section: Introductionmentioning
confidence: 99%