Constrained state feedback control of DC-DC power converter based on model predictive approach

Tarczewski, Tomasz; Niewiara, Łukasz J.; Grzesiak, Lech M.

doi:10.1109/efea.2016.7748814

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…As the state-dependent coefficient k p (t) = u o (t) occurs in (11), the SFC with constant coefficients will not guarantee the good dynamic behaviour of the control system. Since state-space variables of the considered control system vary in a wide range of values, therefore it is not advisable to use the linear approximation around the nominal operating point.…”

Section: Gain-scheduled Sfc For Dmmentioning

confidence: 99%

“…without the inner and outer control loops), by applying a state feedback controller (SFC). Since the depicted control structure provides superior disturbance compensation [11] and non-linearity tolerance [12], it seems to be a promising alternative for the CCS. As was mentioned in [13], on the basis of the SFC, the gain-scheduled controller may be designed to provide further improvement of dynamic performance.…”

Section: Introductionmentioning

confidence: 99%

“…Constrained control algorithm with low computational effort and dedicated for applications with sampling rates above 10 kHz may be designed by using a posteriori constraint introduction approach, where constraints are added to the previously designed linear controller. As was shown in [11], the depicted method is based on the off-line calculated SFC and utilises simple predictive equations of the model to obtain permissible values of control signals that keep selected state space variables in the desired ranges.…”

Section: Introductionmentioning

confidence: 99%

“…Although the aforementioned solution may be precalculated offline, complex mathematical tools such as dynamic programming and polyhedral manipulations along with hybrid models of the DC–DC converter usually have to be used [17]. In this paper, we adapt the solution that is based on a posteriori model predictive approach constraints (MPAC) introduction [11]. The choice is driven by relatively a low computational effort in comparison with MPC.…”

Section: Introduction Of Constraintsmentioning

confidence: 99%

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Gain‐scheduled constrained state feedback control of DC–DC buck power converter

Tarczewski

Niewiara

Skiwski

et al. 2018

IET Power Electronics

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A gain-scheduled constrained state feedback controller (SFC) for a SiC MOSFET direct current (DC)-DC buck power converter with a non-synchronous control strategy is presented. First, the synthesis process of a gain-scheduled SFC for a control system with a state-dependent parameter is proposed. Next, constraints of important states and control variables are a posteriori introduced into control algorithm to provide satisfactory dynamic behaviour and safe operation of the plant. The boundary values of control signals which provide permissible values of the future state-space variables are derived from the models of power converters that take into account two modes of operation (i.e. charging and discharging mode). The novelty of the proposed approach lies in efficient control algorithm that utilises the gain-scheduled SFC with the parameter-dependent constraint handling method. The designed control algorithm is extensively tested through simulation and experiments at a switching frequency of 36 kHz. The proposed solution is further compared with a conventional cascade control structure based on two proportional integral controllers for voltage and current loops as well as with a non-constrained state feedback control structure to illustrate its performance and low computational complexity.

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Section: Gain-scheduled Sfc For Dmmentioning

confidence: 99%