Interleaved Buck–Boost N-Phase High-Efficiency Converter with Soft Switching and Low Output Voltage Ripple

Rahimi, Ahwan; Ranjbarizad, Vida; Babaei, Ebrahim

doi:10.1007/s13369-021-05337-9

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…Multi-phase DC-DC converters are widely preferred to fix the source terminal voltage to a higher value in any renewable energy resources or power transmission lines of electric vehicles [1], [2]. The converters keep the output voltage at a certain value in case of input voltage and load current variations of the converter [3], [4]. The output voltage stability of the battery or fuel cell stack with a DC-DC converter presents a fundamental challenge to the reliability of any DC-link lines and power transmission lines of any electric vehicle, since uncertainties, sensor noise, load, and input voltage disturbances cause system instability Manuscript received 30 November, 2022; accepted 18 January, 2023.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimisation-based Robust H∞ Controller Design Approach for a Multi-Level DC-DC Voltage Regulator

Keskin

Aliskan

2023

ELEKTRON ELEKTROTECH

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In case an analytical approach to the selection of any weighting function is not possible, the selection process is usually a random and time-consuming process. In robust H∞ control theory, the selection of scalar, time, or frequency-dependent weighting functions is the main issue to shape the amplitude-frequency characteristic curve of the feedback controller. Therefore, we propose a robust H∞ control approach which utilises the multi-objective grey wolf optimisation algorithm (MOGWO) to obtain the optimal performance weighting functions in the presence of right half-plane zeros and limited bandwidth constraints. A trade-off design flowchart is proposed, providing Pareto optimal solutions to choose the optimal configuration of the robust feedback controller. The control method is structured by combining the robust H∞ optimal technique and the multi-objective algorithm. The effectiveness of the approach is compared with the non-convex single-objective heuristic solutions like the multi-verse optimisation algorithm (MVO), whale optimisation algorithm (WOA), and grey wolf optimisation algorithm (GWO). The focus of this design is to track and stabilise the output voltage of the DC-DC converter in the presence of external disturbances and parameter uncertainties. The optimised controllers are implemented using a digital signal processor (DSP) on a 200 W interleaved boost converter. The simulation results and experimental findings show that the proposed control method provides supreme disturbance rejection along with maintaining the stability of the system.

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