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

Lei, Tao; Wu, Cenying; Liu, Xiaofei

doi:10.3390/en11051168

Cited by 10 publications

(6 citation statements)

References 23 publications

(24 reference statements)

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“…The article was focused on the efficiency of the observer in comparison with hardware measurements, where an error of 5.2 % was achieved in the experimental platform. Nguyen et al 52 proposed a LQR for regulating i LK and a PI controller to regulate V out , where those solutions were experimentally tested and contrasted with the previous work reported in Nguyen et al 51 In 2018, an optimal controller for a DAB converter on aerospace applications was reported in Lei et al 53 Such a controller was designed to control i LK , and it was implemented using a MATLAB toolbox and tested using an experimental platform obtaining higher efficiency compared with traditional solutions.…”

Section: Methodsmentioning

confidence: 99%

Systematic analysis of control techniques for the dual active bridge converter in photovoltaic applications

Herrera-Jaramillo¹,

Montoya

Henao-Bravo³

et al. 2021

Int J Circ Theor Appl

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Summary The dual active bridge (DAB) converter has high efficiency and versatility; hence, such a converter has been used to design photovoltaic (PV) applications with both step‐up and step‐down voltage capabilities. However, PV systems require maximum power point tracking (MPPT) controllers to track the optimal operation conditions; moreover, PV voltage controllers are required to reject load perturbations that reduce the MPPT performance. This paper describes the operation of a DAB converter in PV systems and compares the performance of the DAB converter with a classical boost solution. In addition, this paper also presents a systematic analysis of the control techniques for DAB converters in PV applications, which provides useful information for selecting the most suitable approach for a particular application.

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Section: Methodsmentioning

confidence: 99%

Systematic analysis of control techniques for the dual active bridge converter in photovoltaic applications

Herrera-Jaramillo¹,

Montoya

Henao-Bravo³

et al. 2021

Int J Circ Theor Appl

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show abstract

“…As to produce the optimal phase shift angle, many optimization technique have been proposed such as Lagrange multiplier method, mathematical programming methods, genetic algorithm (GA) and Ant Colony Optimization (ACO) [6,9,10]. Due to high computational burden and complicated techniques, an offline tuning method by using particle swarm optimization (PSO) is proposed in [6] where the swarm intelligence offers the advantages of reducing the computational load, easy to implement and high convergence speed.…”

Section: Introductionmentioning

confidence: 99%

Online PSO-tuned phase shift angle controller for dual active bridge DC–DC converter

et al. 2019

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The deep concern towards efficient and green energy has brought to the development of intermediate energy storage system. Electric vehicles (EVs), for example, is an application where the energy storage devices are vital. In EV, the bidirectional DC-DC converter is high in demand due to its nature EV of having two or more separate DC sources. A recent technology called the dual active bridge (DAB) converter has quickly become popular in DC-DC converter thanks to its inherent galvanic isolation via a high-frequency transformer. Furthermore, DAB topology allows for high-efficiency conversion and soft switching adaption. This paper presents the optimization of the phase shift angle controller of DAB using Particle Swarm Optimization (PSO). From the preliminary study, it was found out that the optimization performs well until there are abrupt changes in the system. The system is not able to respond to the reference voltage step change as the traditional one-time execution PSO have local optima entrapped in react to the changes. The paper proposes a reset function to allow PSO to identify that its current optimized value is not optimal anymore. This drives PSO to look for a new optimal value to improve DAB's overall dynamic performance. Simulation of the modified PSO is done on a 200 kW DAB system with 20 kHz switching frequency is developed in MATLAB/Simulink environment. Simulation has been carried out with the objective to minimize the steady-state error as well as to improve the dynamic performance of the DAB. The DAB performance with the proposed solution is evaluated in terms of steady-state error and transient response by testing the system under various reference voltage and step-change input voltage. The self-excited re-exploration PSO also have been presented as to respond to the reference voltage step change as the basic PSO have local optima entrapped in react to the changes. In order to validate the simulation results, a hardware-in-the-loop (HIL) experimental circuit is built in Typhoon HIL-402 to verify the dynamic response and the steady state performance of the system.

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“…This modulation operates by using the Phase-Shift (ϕ) between output voltages of the bridges, as in the PS modulation, along with the pulse width variation of the Bridge 1 output voltage (D 1 ), being D 2 = 1, Figure 2b. EPS modulation reduces the circulating energy and the conduction losses for medium power, therefore improving the performance compared to the PS modulation [15][16][17][18][19], although with a reduced impact for low power.…”

Section: Introductionmentioning

confidence: 99%

General Analysis of Switching Modes in a Dual Active Bridge with Triple Phase Shift Modulation

Calderón¹,

Barrado²,

Rodriguez³

et al. 2018

Energies

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This paper provides an exhaustive analysis of the Dual-Active-Bridge with Triple-Phase-Shift (DAB-TPS) modulation and other simpler ones, identifying all the possible switching modes to operate the DAB in both power flow directions, and for any input-to-output voltage range and output power. This study shows four cases and seven switching modes for each case when the energy flows in one direction. That means that the DAB operates up to fifty-six different switching modes when the energy flows in both directions. Analytical expressions for the inductor current, the output power, and the boundaries between switching modes are provided for all cases. Additionally, the combination of control variables to achieve Zero-Voltage-Switching (ZVS) or Zero-Current-Switching (ZCS) is provided for each case and switching mode, by showing which switching modes obtain ZVS or ZCS for the whole power range and all switches-independent of the input-to-output voltage ratio. Therefore, the most interesting cases, switching mode and modulation for using the DAB are identified. Additionally, experimental validation has been carried out with a 250 W prototype. This analysis is a proper tool to design the DAB in the optimum switching mode, reducing the RMS current and achieving to increase efficiency and the power density.

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

Cited by 10 publications

References 23 publications

Systematic analysis of control techniques for the dual active bridge converter in photovoltaic applications

Systematic analysis of control techniques for the dual active bridge converter in photovoltaic applications

Online PSO-tuned phase shift angle controller for dual active bridge DC–DC converter

General Analysis of Switching Modes in a Dual Active Bridge with Triple Phase Shift Modulation

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