Filters With Linear-Phase Properties for Repetitive Feedback

Escobar, G.; Mattavelli, Paolo; Hernandez-Gomez, M.; Martinez‐Rodriguez, Panfilo R.

doi:10.1109/tie.2013.2240634

Cited by 45 publications

(28 citation statements)

References 26 publications

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“…To reduce this gain a low-pass filter, H(z), is usually used. A null-phase low pass filter is usually used (Griñó and Costa-Castelló, 2005;Escobar et al, 2014). Figure 2.…”

Section: Internal Modelmentioning

confidence: 99%

Different architectures to develop repetitive controllers

2017

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“…To reduce this gain a low-pass filter, H(z), is usually used. A null-phase low pass filter is usually used (Griñó and Costa-Castelló, 2005;Escobar et al, 2014). Figure 2.…”

Section: Internal Modelmentioning

confidence: 99%

Different architectures to develop repetitive controllers

2017

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“…These features allow the whole control algorithm to run faster with respect to the MRC considering the same control platform. Nevertheless, RC needs a gain limiting system to reduce high frequency gains ensuring the proper working of the whole control loop [3]. Accordingly, compensation of relative high order harmonics is limited by the stability issues related to the phase lagging effects introduced by sampling, measure filtering and mainly by the VSI output filter-load interaction, as it is shown in the following.…”

Section: Introductionmentioning

confidence: 99%

“…transfer function to be managed at constant VSI operating point. Useful low-pass filter to be able to reduce high frequency RC gain are proposed in [3], allowing simpler compensation due to the introduced frequency independent delay. Direct form of Repetitive Control has been implemented in [7] where a notch filter is proposed to perform the required zero-phase-shift effect.…”

Section: Introductionmentioning

confidence: 99%

Load adaptive zero-phase-shift direct repetitive control for stand-alone four-leg VSI

Lidozzi

Solero

Crescimbini

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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-This paper deals with a dedicated load adaptive phase compensation algorithm to be used in Repetitive Control based stand-alone 4-leg VSI. The plant model is achieved, its inherent modifications according to the operating point are highlighted and used to properly adapt the Repetitive Control structure. Modification of the repetitive control parameters is described to obtain the desired phase compensation capabilities achieving a Zero-Phase-Shift condition at each harmonic. This allows to increase the gain of the Repetitive Controller at high order harmonics thus yielding a better VSI output voltages with strongly reduced THD and faster dynamic response. As a consequence, the VSI output voltages are almost independent from the loads to be fed and the 4-leg VSI with the proposed Zero-Phase-Shift Direct Repetitive Control is an ideal candidate to supply sensitive loads in microgrid, in particular for stand-alone applications.

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“…The same IMP is utilized to synthesize multi-resonant (multioscillatory) controllers for selective harmonic disturbance rejection. By contrast, the multi-oscillatory controllers do not suffer from long term stability problems and thus are one of the best alternatives for a repetitive control of highperformance CACF inverters [12][13][14]. The multi-oscillatory controllers have also their limitations related to the problematic implementation of oscillatory terms near the controller bandwidth and the computational burden growing with the number of harmonics needed to be rejected.…”

Section: Introductionmentioning

confidence: 99%

Plug-in direct particle swarm repetitive controller with a reduced dimensionality of a fitness landscape – a multi-swarm approach

Ufnalski¹,

Grzesiak²

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The paper describes a modification to the recently developed plug-in direct particle swarm repetitive controller (PDPSRC) for the sine-wave constant-amplitude constant-frequency (CACF) voltage-source inverter (VSI). The original PDPSRC algorithm assumes that the particle swarm optimizer (PSO) takes into account a performance index defined over the whole reference signal period. Each particle stores all the samples of the control signal, e.g. α = 200 samples for a controller working at 10 kHz and the reference frequency equal to 50 Hz. Therefore, the fitness landscape (i.e. the performance index) is α-dimensional (αD), which makes optimization challenging. That solution can be categorized as the single-swarm one. It has been previously shown that the swarm controller does not suffer from long-term stability issues encountered in the classic iterative learning controllers (ILC). However, the convergence of the swarm has to be kept at a relatively low rate to enable successful exploitation in the αD search space, which in turn results in slow responsiveness of the PDPSRC. Here a multi-swarm approach is proposed in which we divide a dynamic optimization problem (DOP) among less dimensional swarms. The reference signal period is segmented into shorter intervals and the control signal is optimized in each interval independently by separate swarms. The effectiveness of the proposed approach is illustrated with the help of numerical experiments on the CACF VSI with an output LC filter operating under nonlinear loads.

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Filters With Linear-Phase Properties for Repetitive Feedback

Cited by 45 publications

References 26 publications

Different architectures to develop repetitive controllers

Different architectures to develop repetitive controllers

Load adaptive zero-phase-shift direct repetitive control for stand-alone four-leg VSI

Plug-in direct particle swarm repetitive controller with a reduced dimensionality of a fitness landscape – a multi-swarm approach

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