2016
DOI: 10.1109/tie.2016.2515558
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Comparative Performance of Wiener Filter and Adaptive Least Mean Square-Based Control for Power Quality Improvement

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Cited by 95 publications
(39 citation statements)
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“…The proposed work used an array of resonant current controllers achieved good results in terms of THD reduction. Many researchers employed different controllers for current injection [28][29][30][31][32][33][34][35][36] including model predictive control, repetitive control, kalman filter based H infinity control strategy, one cycle control and sliding mode control. Current controllers force the actual compensating current to follow the…”
Section: Current Injectionmentioning
confidence: 99%
“…The proposed work used an array of resonant current controllers achieved good results in terms of THD reduction. Many researchers employed different controllers for current injection [28][29][30][31][32][33][34][35][36] including model predictive control, repetitive control, kalman filter based H infinity control strategy, one cycle control and sliding mode control. Current controllers force the actual compensating current to follow the…”
Section: Current Injectionmentioning
confidence: 99%
“…In recent years, there has been an increasing interest in least squares adaptive control for both linear and nonlinear systems . In most continuous‐time applications of least squares adaptive control, the parametric model with a regressor is first filtered to remove the time derivatives of plant states, which not only increases the order of the controller but also degrades the estimation performance .…”
Section: Introductionmentioning
confidence: 99%
“…21 In recent years, there has been an increasing interest in least squares adaptive control for both linear and nonlinear systems. [22][23][24][25][26][27][28][29][30][31][32][33][34] In most continuous-time applications of least squares adaptive control, the parametric model with a regressor is first filtered to remove the time derivatives of plant states, which not only increases the order of the controller but also degrades the estimation performance. 22 An integrated least squares-based identification and adaptive control approach was proposed for a class of nonlinear systems with linear-in-the-parameters (LIP) uncertainties in the work of Krstic,22 where the time derivatives from the parametric model are absorbed into the parameter estimation such that regressor filtering is not necessary.…”
Section: Introductionmentioning
confidence: 99%
“…Badoni et al, propose a least squares based PAPF for harmonic compensation, power factor correction, load balancing and voltage regulation [9]. In [10], least squares method is compared with the Wiener filter approach in terms of their reactive power resolution and other power quality measures. In [11], a parallel PAPF structure composed of different filter types is utilized instead of a single PAPF, so that, a more reliable and a flexible filtering is achieved.…”
Section: Introductionmentioning
confidence: 99%