2020
DOI: 10.1007/s12555-019-0421-x
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Characteristic Model-based Adaptive Control with Genetic Algorithm Estimators for Four-PMSM Synchronization System

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Cited by 24 publications
(11 citation statements)
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“…From (13), if c i and α i , i = 1, 2 are chosen as below (7) and as in (8), respectively, then the system states will converge to the equilibrium in finite time [47,49]. However, in the case in which mismatched disturbances exist, based on the equation set (12), one can obtain the below relationship: ..…”
Section: Problem Statementmentioning
confidence: 99%
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“…From (13), if c i and α i , i = 1, 2 are chosen as below (7) and as in (8), respectively, then the system states will converge to the equilibrium in finite time [47,49]. However, in the case in which mismatched disturbances exist, based on the equation set (12), one can obtain the below relationship: ..…”
Section: Problem Statementmentioning
confidence: 99%
“…, and c i , α i (i = 1, 2) are designed in the same manner as below equation ( 19) and equation (8). Then, according to Proposition 8.1 and its proof in [47], it can be concluded that the origin is a globally finite-timestable equilibrium for the system ( 29), indicating that the state x 1 (t) of the system (1) will eventually converge to zero in finite time.…”
Section: Disturbance Observer-based Terminal Sliding Mode Controlmentioning
confidence: 99%
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“…Therefore, a speed-related position compensator was designed which makes it is difficult to implement the control system . In addition, some scholars have put forward many methods related to the law of reaching to reduce the influence of chattering and achieved positive control effects [20][21][22], but it is hard to select appropriate parameters. The higher order sliding mode control methods [23][24][25] are increasingly used in sensorless position control of SPMSM, which can eliminate chattering without reducing the robustness of the system.…”
Section: Introductionmentioning
confidence: 99%