Comparative Performance of Wiener Filter and Adaptive Least Mean Square-Based Control for Power Quality Improvement

Badoni, Manoj; Singh, Alka; Singh, Bhim

doi:10.1109/tie.2016.2515558

Cited by 94 publications

(39 citation statements)

References 21 publications

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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%

Sliding mode control for performance improvement of shunt active power filter

Ullah

Ashraf

2019

SN Appl. Sci.

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The increased use of non-linear loads results in more harmonics content in the source current. Shunt active power filters are used for correction of distorted source current by injecting a compensating current in parallel to the load current. The injected current will shape the supply current to a sinusoidal. In this paper an improved performance of shunt active power filter is achieved by using sliding mode controller for generation of gate pulses of voltage source inverter. The implemented control technique has been evaluated and compared with hysteresis current control. The performance parameters used for evaluating the shunt active power filter are total harmonic distortion, power factor and harmonics compensation ratio. The simulation results show excellent performance of active power filter in terms of harmonics mitigation and dynamic response. Experimental tests are also performed using NI DAQ card in Labview environment to validate the simulation results. Both the simulation and experimental results prove good performance of sliding mode control for accurate injection of reference current.

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Section: Current Injectionmentioning

confidence: 99%

Sliding mode control for performance improvement of shunt active power filter

Ullah

Ashraf

2019

SN Appl. Sci.

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“…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%

On parameter convergence in least squares identification and adaptive control

Sun

2019

Intl J Robust & Nonlinear

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Summary Least squares estimation is appealing in performance and robustness improvements of adaptive control. A strict condition termed persistent excitation (PE) needs to be satisfied to achieve parameter convergence in least squares estimation. This paper proposes a least squares identification and adaptive control strategy to achieve parameter convergence without the PE condition. A modified modeling error that utilizes online historical data together with instant data is constructed as additional feedback to update parameter estimates, and an integral transformation is introduced to avoid the time derivation of plant states in the modified modeling error. On the basis of these results, a regressor filtering–free least squares estimation law is proposed to guarantee exponential parameter convergence by an interval excitation condition, which is much weaker than the PE condition. And then, an identification‐based indirect adaptive control law is proposed to establish exponential stability of the closed‐loop system under the interval excitation condition. Illustrative results considering both identification and control problems have verified the effectiveness and superiority of the proposed approach.

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“…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%

Decreasing Harmonics via Three Phase Parallel Active Power Filter Using Online Adaptive Harmonic Injection Algorithm

2018

Teh. vjesn.

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Three-Phase Parallel Active Power Filter (PAPF) control mechanism via a novel Adaptive Harmonic Injection (AHI) algorithm is proposed in order to filter out harmonics generated by non-linear loads and carry out reactive power compensation. The presented PAPF mechanism is composed of two stages. Before is the extraction of reference current to determine currents with harmonics. Once the reference current is determined, according to the reference current, appropriate current harmonics are injected by triggering of the inverter switches. The proper amplitude and phase values of the harmonics that will be injected are estimated online at any instant by the AHI algorithm. In this study, the sine and the cosine of the phase angle for any harmonic order is weighted by the values estimated via the AHI algorithm, thus obtaining harmonic orders at the desired amplitude and phase. Simulations are performed using various non-linear loads in order to validate the proposed method.

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Comparative Performance of Wiener Filter and Adaptive Least Mean Square-Based Control for Power Quality Improvement

Cited by 94 publications

References 21 publications

Sliding mode control for performance improvement of shunt active power filter

Sliding mode control for performance improvement of shunt active power filter

On parameter convergence in least squares identification and adaptive control

Decreasing Harmonics via Three Phase Parallel Active Power Filter Using Online Adaptive Harmonic Injection Algorithm

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