A novel combination scheme of proportionate filter

A control structure design of a three-phase three-leg four-wire grid-tied Distribution Static Synchronous Compensator (DSTATCOM) based on a combined-step-size real-coefficient improved proportionate affine projection sign algorithm (CSS-RIP-APSA) has been presented. The three-phase four-wire DSTATCOM is used for reactive power compensation along with harmonic current minimization. This strategy also helps in load balancing and neutral current compensation. The affine projection sign algorithm (APSA) is a member of the adaptive filter family, which has a slow convergence rate. The conventional adaptive filter deals with the trade-off between the convergence rate and the steady-state error. In the proposed algorithm, the RIP-APSA adaptive filter with two different step sizes has been designed to decrease the computational burden while achieving the advantages of a fast convergence rate and reduced steady-state error. The proposed controller also makes the inverter function a shunt compensator. The controller primarily evaluates the fundamental weight component of distorted load currents. The aim of the proposed system is to compensate for reactive power and to ensure unity power factor during the faulty conditions as well as for unbalancing grid conditions. The proposed control algorithm of the grid-tied DSTATCOM works effectively on the laboratory prototype as verified from the experimental results.

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“…The weight updating equation for CSS-RIP-APSA with regularization at ith sample period is formulated as in [26].…”

Section: Control Structurementioning

confidence: 99%

“…Furthermore, a small step-size provides a small steady-state error but deteriorated convergence rate. To address this issue, [26] proposes a convex combination of two RIP-APSA with different step-sizes, termed CSS-RIP-APSA. The contributions of the paper are given as follows:…”

Section: Introductionmentioning

confidence: 99%

Grid-Tied Distribution Static Synchronous Compensator for Power Quality Enhancement Using Combined-Step-Size Real-Coefficient Improved Proportionate Affine Projection Sign Algorithm

et al. 2021

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“…The recent examples of adaptive filter combination tasks include the combination of adaptive filters from different families such as one gradient and one Hessian based in [31], the adaptive combination of proportionate filters for sparse echo cancelation in [32], the adaptive combination of subband adaptive filters for acoustic echo cancelation in [33], the convex combination of H 2 and H ∞ filters for space-time adaptive equalization in [34], the online tracking of the changes in the nonlinearity within a signal by using a collaborative adaptive signal processing approach based on a combination (hybrid) filter in [35], the adaptive combination of Volterra kernels and its application to nonlinear echo cancelation in [36], the convex combination of nonlinear adaptive filters for active noise control in [37], the combination of adaptive filters for relative navigation in [38], finite impulse response (FIR)-infinite impulse response (IIR) adaptive hybrid combination in [39], the affine combination of two adaptive sparse filters for estimating large-scale multiple-input multiple-output (MIMO) channels in [40], the combinations of multiple kernel adaptive filters in [41], the low-complexity approximation to the Kalman filter using convex combinations of adaptive filters from different families in [42], and the proposition of a family of combined-step-size proportionate filters in [43].…”

Section: Introductionmentioning

confidence: 99%

Sequential convex combinations of multiple adaptive lattice filters in cognitive radio channel identification

Ozden

2018

EURASIP J. Adv. Signal Process.

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Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio (CR) channel identification framework have been considered in this presentation. First, the sequential processing multichannel lattice stages (SPMLSs) are modified so as to be used in filter combination task. Then, two different combination schemes, i.e., regular combination of multiple lattice filters (R-CMLF) and decoupled combination of multiple lattice filters (D-CMLF), that utilize modified SPMLSs as filter structure have been proposed. A modified Gram-Schmidt orthogonalization of multiple channels of data, which is constituted in multiple filter combination task, is accomplished. A highly modular, regular, and reconfigurable filter structure, which is suitable for cognitive radios, is achieved with the combination processing implemented in an order-recursive fashion. The mean square deviation (MSD) performances of the schemes under stationary and nonstationary conditions have been presented and compared with the performances of multiple combination of least mean square (M-CLMS), decoupled combination of least mean square (D-CLMS) schemes, and component filters. It has also been shown that the fault tolerances of the proposed schemes are better than those of the component filters due to the redundancy introduced with combination processing, and that the proposed schemes bring together the desired adaptive filter features such as fast convergence and low steady-state MSD levels, which do not normally coexist.

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“…With optimally selecting the step-size during the adaptation, we obtain fast convergence rate and low steady state mean square error at the same time. In the case of variable step-size (VSS) methods, various approaches have been proposed in the literatures [10], [11], [12], [13], [14], [15]. One of the most important strategy in this issue was presented in [16].…”

Section: Introductionmentioning

confidence: 99%

The Variable Step-Size Wavelet Transform-Domain LMS Adaptive Filter Algorithm

2018

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In this paper, the wavelet transform domain least mean squares (WTDLMS) adaptive algorithm with variable step-size (VSS) is established. The step-size changes according to the largest decrease in mean square deviation. To keep the computational complexity low, the Haar wavelet transform (HWT) is utilized as a transform. In addition, the mean square performance analysis of the VSS-WTDLMS is studied in the stationary and nonstationary environments and the theoretical relations for transient and steady-state performances are established. The simulation results show that the proposed VSS-WTDLMS has faster convergence rate and lower misadjustment than conventional WTDLMS. The theoretical relations are also verified by presenting various experimental results.

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A novel combination scheme of proportionate filter

Cited by 13 publications

References 17 publications

Grid-Tied Distribution Static Synchronous Compensator for Power Quality Enhancement Using Combined-Step-Size Real-Coefficient Improved Proportionate Affine Projection Sign Algorithm

Grid-Tied Distribution Static Synchronous Compensator for Power Quality Enhancement Using Combined-Step-Size Real-Coefficient Improved Proportionate Affine Projection Sign Algorithm

Sequential convex combinations of multiple adaptive lattice filters in cognitive radio channel identification

The Variable Step-Size Wavelet Transform-Domain LMS Adaptive Filter Algorithm

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