학술논문

Optimal Tuning of Current Mode Controllers by Mapping to State-Feedback With Integral for Fuel Cell Integrated Boost Converter
Document Type
Periodical
Source
IEEE Journal of Emerging and Selected Topics in Industrial Electronics IEEE J. Emerg. Sel. Top. Ind. Electron. Emerging and Selected Topics in Industrial Electronics, IEEE Journal of. 5(2):309-317 Apr, 2024
Subject
Power, Energy and Industry Applications
Robotics and Control Systems
Voltage control
Tuning
Fuel cells
Computer architecture
Industrial electronics
Voltage
Regulators
Average current mode control (ACMC)
dc–dc Converter
fuel cell (FC)
++%24I^{2}%24<%2Ftex-math>+<%2Finline-formula>+<%2Fnamed-content>+Controller%22"> $I^{2}$ Controller
stability
stand-alone operation
++%24V^{2}%24<%2Ftex-math>+<%2Finline-formula>+<%2Fnamed-content>+controller%22"> $V^{2}$ controller
Language
ISSN
2687-9735
2687-9743
Abstract
Fuel cell (FC) is an electrochemical source of electrical energy that hardly produces any byproducts, which is detrimental to the objective of clean energy. Since the cell voltage is low and unsuitable for direct connectivity with load, a standard dc–dc converter topology boost converter is used to step up the voltage per the utility applications. Current-mode based controllers are best suited to control this converter with the slow dynamic of FCs. However, tuning of controller parameters is cumbersome work and hardly provides a suboptimal solution. This article proposes a simple mapping-based approach to tune the different current mode control architectures suitable for fuel cell applications. These controllers are mapped in terms of state feedback with integral (SFBI), hence, obtaining their parameters from a linear quadratic regulator makes it easier to tune optimally. The tuning of these controllers is carried out in such a manner that the structural integrity of the controller is kept intact. In addition, the designer may use any structure for their application by tuning the SFBI only once. The approach has been verified mathematically to tune the different current mode control architectures optimally. In addition, the approach has been verified by simulation and validated experimentally.