2021
DOI: 10.1016/j.aej.2021.02.049
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PSO technique applied to sensorless field-oriented control PMSM drive with discretized RL-fractional integral

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Cited by 19 publications
(6 citation statements)
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“…The comparison of Equations ( 10)-( 13), (19) and (20) indicates that the above two PI parameter tuning results of IPMSM are the same. Actually, the above two PI parameter tuning results of IPMSM all originated from the dynamic performance indicators and empirical formulas of the typical type I system.…”
Section: Pi Controller Designmentioning
confidence: 86%
See 1 more Smart Citation
“…The comparison of Equations ( 10)-( 13), (19) and (20) indicates that the above two PI parameter tuning results of IPMSM are the same. Actually, the above two PI parameter tuning results of IPMSM all originated from the dynamic performance indicators and empirical formulas of the typical type I system.…”
Section: Pi Controller Designmentioning
confidence: 86%
“…After the signal was input into the feed-forward compensation controller, the comprehensive simulation and experiment's results show that the dynamic response capability of PMSM can be improved [19]. Furthermore, some improved methods based on the field-oriented control (FOC), direct torque control (DTC), and sliding-mode observer (SMO) were proposed to investigate the dynamic response of PMSM [20][21][22][23][24]. Nevertheless, it is necessary to explore a simple method to improve the reaction time of PMSM on the basis of traditional PI control technology.…”
Section: Introductionmentioning
confidence: 99%
“…The discontinuous switching control of the SMO approach, which affects the control accuracy, is its primary drawback [12]. Due to its key advantages, such as its low computing effort, ease of implementation, strong stability, and accurate position estimation, the MRAS is one of the most widely used sensor-less algorithms for speed estimation [13]. However, one of the main drawbacks of the MRAS approach is the existence of the PI controller, which requires accurate tuning of the proportional and integral terms to obtain the best speed/position estimation performance.…”
Section: Introductionmentioning
confidence: 99%
“…As a part of adaptive control theory, the MRAS has a lot of related research and explorations [7,8,[11][12][13][14][15][16][17][18][19]. Nowadays, three topics are given more attention, including the reference model, MRAS structure, and adaptive law.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the stability of the mentioned methods is difficult to prove. For designing the MRAS structure, the commonly used mode is described in [7,8,[14][15][16][17][18], which consists of a reference model, an adjustable model, and the adaptive law. Apart from those, in [13], a new MRAS structure considering the differences in rotor fluxes and electromagnetic torques between the reference model and the adjustable model is proposed, which can effectively improve the performance of speed estimation, however, an appropriate stability proof is also missing.…”
Section: Introductionmentioning
confidence: 99%