2018
DOI: 10.15199/48.2018.06.08
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Particle swarm optimization of the multioscillatory LQR for a three-phase grid-tie converter

Abstract: This paper presents an evolutionary optimization of the linear-quadratic (LQ) current controller for a three-phase grid-tie voltage source converter with an L-type input filter. The current control system is equipped with multi-oscillatory terms, which enable the converter to obtain nearly sinusoidal shape and balanced input currents under unbalanced and distorted grid voltage conditions. The augmentation of the state vector to include additional states which describe dynamics of disturbances increases the num… Show more

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Cited by 6 publications
(4 citation statements)
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“…Also, control signal limiting can be realized thanks to this mechanism. Several different adaptation schemes have been reported for oscillatory terms, e.g., [43,44]. Similarly, various conditions for suppressing learning in repetitive controllers could possibly be proposed to meet different objectives.…”
Section: Conditional Learningmentioning
confidence: 99%
“…Also, control signal limiting can be realized thanks to this mechanism. Several different adaptation schemes have been reported for oscillatory terms, e.g., [43,44]. Similarly, various conditions for suppressing learning in repetitive controllers could possibly be proposed to meet different objectives.…”
Section: Conditional Learningmentioning
confidence: 99%
“…An additional term limiting the control signal, influencing the damping factor, requires an additional tuning procedure, and due to strong nonlinearity of such a structure, tuning (selection of gains) is not a trivial problem to be done optimally. Thus optimization methods like linear-quadratic LQ [12] or more advanced like particle swarm [13] are used. They require powerful software for solving of the Riccati equation for LQ optimization or particle swarm optimization run.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the two step evolutionary optimization supported process has been proposed in order to improve tuning of the current controller. The preliminary simulation of a selected simple model based cases have been presented in [34]. In this paper, novel, full analysis of the mentioned two-step approach supported by experimental results from the test bench is provided.…”
Section: Introductionmentioning
confidence: 99%