Reference Generation for Shunt Active Power Filters Based on Optimum Filtering Theory

Cardoso, Rafael; Kanieski, João Marcos; Pinheiro, Humberto; Gründling, Hilton Abílio

doi:10.1109/07ias.2007.250

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…The method is entirely derived in the discrete time domain. The current references generated by the method proposed in [10] are optimal. It means that the method provides the best transient response versus disturbance rejection.…”

Section: Current Reference Generationmentioning

confidence: 99%

“…The current reference generation is based on the method proposed in [10] and uses a Kalman filter to extract the necessary information from the load current i o and the voltage v ox at the connection point. This method considers the effect of measurement noise, load and grid voltages transients and is possible to operate with a frequency deviated from its nominal value.…”

Section: Current Reference Generationmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Robust Model Reference Adaptive Control for a shunt Active Power Filter

Stefanello

Kanieski

Cardoso

et al. 2008

2008 34th Annual Conference of IEEE Industrial Electronics

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This paper presents a design procedure for a Discrete-Time Robust Model Reference Adaptive Control (DRMRAC) applied to a three-phase four-wire shunt Active Power Filter (APF). The first step when designing the controller is to obtain a representative model for the plant. The theoretical basis for the DRMRAC, considers a parametric model which comprises a modeled part of reduced order, whose parameters are allowed to lie in a predefined range, and a multiplicative and/or additive terms describing the unmodeled dynamics. These dynamics pose a level of uncertainty for the plant, and reflect the difficult in describing the plant behavior, usually at high frequencies. The adaptive law is used to compensate the parametric variation of the plant and the control strategy is robust with respect to such unmodeled dynamics. The plant model, design procedures, main constraints and experimental results are presented.

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Section: Current Reference Generationmentioning

confidence: 99%

Section: Current Reference Generationmentioning

confidence: 99%

Design of a Robust Model Reference Adaptive Control for a shunt Active Power Filter

Stefanello

Kanieski

Cardoso

et al. 2008

2008 34th Annual Conference of IEEE Industrial Electronics

View full text Add to dashboard Cite

show abstract

“…In order to improve the performance of such algorithms it has been proposed the use of phase locked loops (PLL) or other closedloop algorithms resulting in hybrid systems [4], [8]- [10] with good adaptation but complex dynamics. Moreover, the PLL dynamics is dependent from the input amplitude, which also could complicate the tuning [11].…”

Section: Introductionmentioning

confidence: 99%

Harmonic Identification Methods Based on Moving Average Filters for Active Power Filters

Freijedo

Doval-Gandoy

López

et al. 2008

2008 IEEE Industry Applications Society Annual Meeting

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Harmonic detection is very important in the control of Active Power Filters (APFs). This paper presents a technique for harmonic identification, based on moving average filters (MVAs) and heterodyning, very suitable for digital implementation. The approach of fundamental component identification is contributed both for single-phase and three-phase voltage/current systems. Selective harmonic identification is also feasible.Due to the rapid step-response, good harmonic/noise cancellation of MVAs, and good frequency adaptation of the proposed algorithms, they have a very good performance compared with other alternatives.Experimental results of digital implementation in a rapid prototyping platform (dSpace DS1103), including an APF prototype are contributed proving the theoretical approaches. Details and experimental results of FPGA implementation, a clear trend in the field of digital control, are also contributed.

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A new LQR modeling approach for power quality conditioning devices

Kanieski

Gründling

Cardoso

2010

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society

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Reference Generation for Shunt Active Power Filters Based on Optimum Filtering Theory

Cited by 4 publications

References 14 publications

Design of a Robust Model Reference Adaptive Control for a shunt Active Power Filter

Design of a Robust Model Reference Adaptive Control for a shunt Active Power Filter

Harmonic Identification Methods Based on Moving Average Filters for Active Power Filters

A new LQR modeling approach for power quality conditioning devices

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