Název: Maximizing power utilization of dual converter using predictive control with steady state cost
Autoři: Votava, Martin
Šmídl, Václav
Peroutka, Zdeněk
Glasberger, Tomáš
Citace zdrojového dokumentu: VOTAVA, M. ŠMÍDL, V. PEROUTKA, Z. GLASBERGER, T. Maximizing power utilization of dual converter using predictive control with steady state cost. IET Power Electronics, 2021, roč. 14, č. 13, s. 2234-2248. ISSN: 1755-4535
Datum vydání: 2021
Nakladatel: Wiley
Typ dokumentu: článek
article
URI: 2-s2.0-85111359691
http://hdl.handle.net/11025/45623
ISSN: 1755-4535
Klíčová slova v dalším jazyce: model predictive control;thermal model;IGBT;power losses
Abstrakt v dalším jazyce: Capability to deliver maximum power of a converter is essential for increasing power density that is limiting in many applications. Therefore, control algorithm should guarantee operation within converter thermal limits. This requirement can be formalized by a hard constraint in the cost function of model predictive control (MPC). However, the temperatures of the converter elements are not constant in the steady state, which complicates evaluation of the cost on long prediction horizon. Therefore, the evaluation is simplified utilizing the analysis of steady state behaviour of the model and derived current derating laws calculated in off-line manner. The derating law is used as the terminal set in MPC which allows using one-step-ahead evaluation for efficient real-time implementation. The steady state analysis also provides coefficients for power loss balancing. The proposed approach is applied to control of dual converter, which has high redundancy of switching elements and, thus, wide space for optimization. It is shown in simulation that the proposed approach has better performance than previously published algorithms, at lower computational cost. Experimental evaluation of the algorithm performed on a converter prototype of rated power of 10 kW shows that the proposed controller is able to safely operate the converter near the thermal limit.
Práva: © authors
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Články / Articles (KEV)
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