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Multi-Objective Optimization Control for the Aerospace Dual-Active Bridge Power Converter

by 1,*, 2 and 1
1
Key Laboratory of Aircraft Electric Propulsion Technology, Ministry of Industry and Information Technology of China, Northwestern Polytechnic University, Xi’an 710072, China
2
Shenyang Aircraft Design and Research Institute, Shenyang 110034, China
*
Author to whom correspondence should be addressed.
Energies 2018, 11(5), 1168; https://doi.org/10.3390/en11051168
Received: 27 March 2018 / Revised: 24 April 2018 / Accepted: 25 April 2018 / Published: 7 May 2018
(This article belongs to the Section Electrical Power and Energy System)
With the development of More Electrical Aircraft (MEA), the electrification of secondary power systems in aircraft is becoming more and more common. As the key power conversion device, the dual active bridge (DAB) converter is the power interface for the energy storage system with the high voltage direct current (HVDC) bus in aircraft electrical power systems. In this paper, a DAB DC-DC converter is designed to meet aviation requirements. The extended dual phase shifted control strategy is adopted, and a multi-objective genetic algorithm is applied to optimize its operating performance. Considering the three indicators of inductance current root mean square root (RMS) value, negative reverse power and direct current (DC) bias component of the current for the high frequency transformer as the optimization objectives, the DAB converter’s optimization model is derived to achieve soft switching as the main constraint condition. Optimized methods of controlling quantity for the DAB based on the evolution and genetic algorithm is used to solve the model, and a number of optimal control parameters are obtained under different load conditions. The results of digital, hard-in-loop simulation and hardware prototype experiments show that the three performance indexes are all suppressed greatly, and the optimization method proposed in this paper is reasonable. The work of this paper provides a theoretical basis and researching method for the multi-objective optimization of the power converter in the aircraft electrical power system. View Full-Text
Keywords: double active bridge converter (DAB); multi-objective optimization; evolution and genetic algorithm double active bridge converter (DAB); multi-objective optimization; evolution and genetic algorithm
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Lei, T.; Wu, C.; Liu, X. Multi-Objective Optimization Control for the Aerospace Dual-Active Bridge Power Converter. Energies 2018, 11, 1168.

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