2013
DOI: 10.1016/j.ijepes.2012.10.064
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Direct model reference adaptive internal model controller for better voltage sag ride through in doubly fed induction generator wind farms

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Cited by 15 publications
(5 citation statements)
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“…As T-S fuzzy rules are characterized by good approximation to nonlinear systems so these rules are used in this mechanism [9]. In this paper, we are using two inputs which are plant model error (E) having five linguistic variables namely NH, …”
Section: System Description and Modellingmentioning
confidence: 99%
See 1 more Smart Citation
“…As T-S fuzzy rules are characterized by good approximation to nonlinear systems so these rules are used in this mechanism [9]. In this paper, we are using two inputs which are plant model error (E) having five linguistic variables namely NH, …”
Section: System Description and Modellingmentioning
confidence: 99%
“…MRAC also found effective in regulation of air mass coming from internal combustion engine. Direct model reference adaptive internal model controller is proposed which provides variable gain adjustment mechanism [9]. To reduce the problems like large gain requirements, fast actuating requirements as well as improve the noise performance the implementation of MRAC using simultaneous probing, estimation and control is carried out [10].…”
Section: Introductionmentioning
confidence: 99%
“…The settling time and percent overshoot also have significant difference versus other applied control schemes. In , a direct model reference adaptive internal model controller for a DFIG has been used in wind farms for voltage sag ride‐through. Moreover, the obtained results do not match in beginning and end values for two considered controller during transient condition.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the filter method and the adaptive method were introduced into the IMC system. [18][19][20] In this paper, a novel controller design method is proposed to avoid the approximation error of the time delay plant. The proposed method improves the control accuracy and enhances the system robustness performance.…”
Section: Introductionmentioning
confidence: 99%
“…However, this method did not conquer all of the approximate errors. Recently, the filter method and the adaptive method were introduced into the IMC system …”
Section: Introductionmentioning
confidence: 99%