Improved sliding mode temperature control of hydrogen fuel cells for multirotor drones

Abstract

This paper investigates the temperature control problem in hydrogen fuel cells based on the improved sliding mode control method, specifically within the context of multirotor drone applications. The study focuses on constructing a control-oriented nonlinear thermal model, which serves as a foundation for the subsequent development of a practical temperature regulation approach. Initially, a novel sliding mode control strategy is proposed, which significantly enhances the precision and stability of temperature control by reducing the impact of sensor errors and environmental disturbances. Subsequently, the effectiveness and robustness of this control method under various dynamic loads and environmental conditions are demonstrated. The simulation results demonstrate that the improved sliding mode controller is effective in managing and regulating the fuel cell temperature, ensuring optimal performance and stability.