2022
DOI: 10.3390/s22249611
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Linear-Nonlinear Switching Active Disturbance Rejection Speed Controller for Permanent Magnet Synchronous Motors

Abstract: To combine the advantages of linear active disturbance rejection control (LADRC) and nonlinear active disturbance rejection control (NLADRC) and improve the contradiction between the response speed and control precision caused by the limitation of parameter α in NLADRC, a linear-nonlinear switching active disturbance rejection control (SADRC) strategy based on linear-nonlinear switching extended state observer (SESO) and linear-nonlinear switching state error feedback control law (SSEF) is proposed in this pap… Show more

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Cited by 4 publications
(3 citation statements)
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“…Based on the principle of active disturbance rejection control [ 27 , 28 , 29 ], the system balance equation becomes: where is the system input gain, is the input current of the controlled object, and is regarded as the sum of the total disturbances composed of the internal and external disturbance of the system, with .…”
Section: Ladrc Based On Double Closed-loop Speed and Torque Control S...mentioning
confidence: 99%
“…Based on the principle of active disturbance rejection control [ 27 , 28 , 29 ], the system balance equation becomes: where is the system input gain, is the input current of the controlled object, and is regarded as the sum of the total disturbances composed of the internal and external disturbance of the system, with .…”
Section: Ladrc Based On Double Closed-loop Speed and Torque Control S...mentioning
confidence: 99%
“…Qu et al introduced a linear-nonlinear switching ADRC strategy, in which the extended state observer (ESO) and the state error feedback (SEF) control law adopted this linear-nonlinear switch. The experimental results demonstrated that following parameter adjustment using the BM, this approach exhibited enhanced resistance to disturbances and held promising potential for practical applications in engineering [16]. Zhang et al built upon the foundation established by Gao [15] in summarizing the effects of various parameters on system dynamics and adjusted gain parameters of ESO using a BM.…”
Section: Introductionmentioning
confidence: 99%
“…These controllers are simple in structure and easy to implement, but they need to be optimized by algorithms in practical applications [10,11]. In [12], Prof. Ying Qu proposed a self-resistant control strategy with the linear-nonlinear switching state error feedback control law, which can improve the system control accuracy but also has the problem of amplifying the noise signal. In [13], the stability of the system is improved by introducing fuzzy control and the extended state observer to increase the order of the self-immobilizing controller, thereby improving the suppression of harmonic currents.…”
Section: Introductionmentioning
confidence: 99%