A Safe and Stable Controller for Fuel Cell Systems Using Adaptation and Reference Governors

TL;DR

This paper introduces a control architecture combining adaptation and Lyapunov-based Reference Governors to ensure safety and stability in fuel cell systems with uncertainties.

Contribution

It presents a novel integration of adaptation with reference governors to guarantee safety and stability under parametric uncertainties.

Findings

Successfully maintains safety and stability in fuel cell temperature regulation.

Outperforms standard adaptation methods in meeting safety objectives.

Demonstrates effectiveness through simulations.

Abstract

This paper proposes a control architecture integrating adaptation with Lyapunov-based Reference Governors (LRGs) to ensure state constraint satisfaction for first-order systems with parametric uncertainties. Adaptation combined with LRGs guarantees stability, ensures good control performance, and remains safe even with parametric uncertainties. Simulations of the fuel cell temperature regulation problem demonstrate that the proposed control architecture successfully meets all control and safety objectives, whereas the standard adaptation fails to achieve the latter.