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Adaptive Extended State Observer for the Dual Active Bridge Converters.

Tan-Quoc Duong¹, Hoai-An Trinh², Kyoung-Kwan Ahn²

¹Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.

Sensors (Basel, Switzerland)

|April 27, 2024

Summary

This study introduces an adaptive extended state observer (AESO) for DC-DC dual active bridge (DAB) converters. The AESO balances tracking accuracy and disturbance rejection, improving performance without current sensors.

Keywords:

DC–DC converter disturbance suppression dual active bridge converter extended state observer

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Area of Science:

Electrical Engineering
Control Systems
Power Electronics

Background:

DC-DC dual active bridge (DAB) converters are crucial for bidirectional energy transfer and integrating renewable energy sources.
Extended state observers (ESO) enable output voltage regulation in DAB converters without current sensors, reducing system costs.
High observer bandwidth in ESO improves tracking but degrades disturbance suppression, while low bandwidth offers the opposite.

Purpose of the Study:

To propose an adaptive extended state observer (AESO) that optimizes the trade-off between tracking performance and disturbance suppression for DAB converters.
To enhance the control of DAB converters by dynamically adjusting observer bandwidth based on system error.

Main Methods:

Development of an adaptive extended state observer (AESO) for DAB converter voltage regulation.
Dynamic adjustment of observer bandwidth: increasing for high voltage errors to boost tracking, decreasing for disturbance rejection.
Comparative analysis using simulations and experimental validation against fixed-bandwidth ESO and improved model-based phase-shift control (MPSC).

Main Results:

The proposed AESO demonstrates a superior compromise between tracking accuracy and disturbance suppression compared to fixed-bandwidth ESO.
AESO effectively manages system dynamics under varying operating conditions and disturbances.
Validation through simulations and experiments confirms the effectiveness of the AESO method.

Conclusions:

The adaptive extended state observer (AESO) offers an effective solution for enhancing the control performance of DC-DC dual active bridge (DAB) converters.
This sensorless control strategy reduces system complexity and cost while maintaining robust performance.
The proposed method provides a valuable advancement for renewable energy integration and power management systems.