A Safe and Stable Controller for Fuel Cell Systems Using Adaptation and Reference Governors
For control engineers dealing with safety-critical systems like fuel cells, this work provides a method to guarantee constraint satisfaction under parametric uncertainties.
The paper proposes a control architecture combining adaptation with Lyapunov-based Reference Governors to ensure state constraint satisfaction for first-order systems with parametric uncertainties. Simulations on fuel cell temperature regulation show the proposed method meets all control and safety objectives, while standard adaptation fails.
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.