2018 Chinese Control and Decision Conference (CCDC) 2018
DOI: 10.1109/ccdc.2018.8407421
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Fuzzy logic control of the fault-tolerant PMSM servo system based on MRAS observer

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Cited by 10 publications
(10 citation statements)
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“…Although it can effectively improve the robustness of the system to inductance parameters, it increases the amount of mathematical calculation of the system design, increases the calculation load of the system, and reduces the stability of the system. The model reference adaptive method proposed in the literature [10,11] is simple in structure, but the system is easily affected by load and motor parameter changes.…”
Section: Introductionmentioning
confidence: 99%
“…Although it can effectively improve the robustness of the system to inductance parameters, it increases the amount of mathematical calculation of the system design, increases the calculation load of the system, and reduces the stability of the system. The model reference adaptive method proposed in the literature [10,11] is simple in structure, but the system is easily affected by load and motor parameter changes.…”
Section: Introductionmentioning
confidence: 99%
“…Other examples focus on the switchover between PI controller and fuzzy logic-based controller. In these systems, the extended Kalman filter (EKF) [18] or model reference adaptive system (MRAS) [19] was used for speed estimation.…”
Section: Introductionmentioning
confidence: 99%
“…Two main methods of PMSM sensorless control are high frequency injection method (Brandstetter and Krecek, 2014; Jang et al, 2003; Lin and Zhu, 2005; Yang and Lorenz, 2011) and back ElectroMotive Force (back-EMF) method (Aydogmus and Sünter, 2012; Corradini et al, 2010; Liang et al, 2018; Zhao et al, 2018), respectively. High frequency injection method is relied on saliency tracking (Brandstetter and Krecek, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…For example, in Zhao et al (2018), the Model Reference Adaptive System (MRAS) observer estimation algorithm combining with the Fuzzy Logic Control (FLC) is put forward to estimate the rotor speed and the rotor angle, but the model parameters adaptation of MARS is difficult to achieve. Extended Kalman Filter (EKF) method is proposed in Aydogmus and Sünter (2012), however, heavy online matrix computing is necessary.…”
Section: Introductionmentioning
confidence: 99%