IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society 2010
DOI: 10.1109/iecon.2010.5675185
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Integrated current control, energy control and energy balancing of Modular Multilevel Converters

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Cited by 146 publications
(100 citation statements)
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“…Hence, the reference for the αβ components is The notch filters at fundamental frequency ensure that the controller outputs do not feature fundamental frequency components. This permits the cancellation at the dc terminals of the circulating currents, which is achieved by inducing reactive power flows in the other two phase-legs using the orthogonality principle in the matrix M [23].…”
Section: B Internal State Variable Control 1) Energy Control (Ec)mentioning
confidence: 99%
“…Hence, the reference for the αβ components is The notch filters at fundamental frequency ensure that the controller outputs do not feature fundamental frequency components. This permits the cancellation at the dc terminals of the circulating currents, which is achieved by inducing reactive power flows in the other two phase-legs using the orthogonality principle in the matrix M [23].…”
Section: B Internal State Variable Control 1) Energy Control (Ec)mentioning
confidence: 99%
“…4, unlike the proposed controllers in [9], [20], and [32], none of the voltage or current components need to be transformed to the "dqo" frame and all of the computations can be performed in "abc" coordinates. This reduces the computational burden in the proposed controller and increases the speed of the computation.…”
Section: Proposed Controllermentioning
confidence: 99%
“…The method of periodic discrete modeling and the PDLQR design are unified and characterized by easy expansion to other MMCC topologies. For example, the unified method is investigated and verified for the MMC in [11], [17]. Note that the obtained periodic control gain from the PDLQR can only regulate the state variables to the origin while minimizing the chosen cost function.…”
Section: Multivariable Optimal Control Designmentioning
confidence: 99%
“…A state feedback control for multivariable systems shows its advantages in handling the aforementioned problems. In [10] and [11], a complete multivariable design is developed to control the current variables, compensate the harmonics and balance the internal energy distribution for the MMC. The idea for this control design can be described briefly as: a linear multivariable model for the investigated system is required and a quadratic cost function J is defined based on the concerning control criterion.…”
Section: Introductionmentioning
confidence: 99%