High order sliding mode based drift algorithm for a commercial PEM fuel cell system

Abstract

Conventional sliding mode controls (SMC) have always shown high robustness when applied to non-linear systems. However, their applications are still limited due to their high-frequency switching which could be a harmful phenomenon for different systems. As a solution, this paper proposes a high order SMC based drift algorithm. First, the algorithm is designed theoretically for a proton exchange membrane fuel cell system, where the stability study is proved with Lyapunov theory. Then, it was implemented in a commercial Heliocentris FC50 fuel cell system together with a power converter, a BK Precision 8500 programmable load, and a MicroLabBox dSpace DS1202. Comparative outcomes with the conventional SMC have shown the pros and cons of each scheme in terms of steady-state oscillations, convergence speed, and robustness.

Design of a Fuzzy Adaptive Voltage Controller for a Nonlinear Polymer Electrolyte Membrane Fuel Cell with an Unknown Dynamical System

“…In this paper, we develop dynamic and nonlinear models based on the fuel cell models presented in [27]. Nonlinear terms are included in Equations ( 9) and (11). To linearize the cell voltage, a small-perturbation method must be used for the fuel cell dynamics model as an almost linear system.…”

“…As a result, the output voltage can be adjusted by adjusting the hydrogen flow of the proposed controller. The nonlinear model of PEM fuel cells is controlled using conventional sliding mode controllers, which ensures stability and reduces chattering [11]. Model-based optimal control and the efficient online stochastic estimation of fuel cell parameters were previously developed for PEM fuel cells [12].…”