<p>Designing a controller that works well for DC-DC boost converters applied in fuel cell systems is an important issue and is a topic that has received considerable research attention. A good voltage controller will help to reduce fluctuations in the fuel cell itself and will offer a higher quality of power to customers. This paper presents a new controller from the sliding mode control family for the boost converter that provides robust performance with reduced chattering, disturbance rejection, and fast convergence. More specifically, we propose an adaptive terminal sliding mode control based on barrier functions that can significantly reduce chattering while achieving rapid convergence. The controller guarantees that the tracking error converges to some small bound for any initial condition, which helps to control chaotic behavior and reject disturbances. Fast convergence is achieved by the fast-terminal sliding surface used in the controller. Together, the proposed control scheme has the ability to be robust, fast, and without chatter. We conducted a number of laboratory experiments to evaluate the proposed method and the results support the proposed intention to achieve the objectives defined.</p>

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Designing a Barrier Function-Based Robust Control Strategy for Fuel Cell Voltage Regulation System

  • Yongyan Fan,
  • Jing Zhang,
  • Li Li

摘要

Designing a controller that works well for DC-DC boost converters applied in fuel cell systems is an important issue and is a topic that has received considerable research attention. A good voltage controller will help to reduce fluctuations in the fuel cell itself and will offer a higher quality of power to customers. This paper presents a new controller from the sliding mode control family for the boost converter that provides robust performance with reduced chattering, disturbance rejection, and fast convergence. More specifically, we propose an adaptive terminal sliding mode control based on barrier functions that can significantly reduce chattering while achieving rapid convergence. The controller guarantees that the tracking error converges to some small bound for any initial condition, which helps to control chaotic behavior and reject disturbances. Fast convergence is achieved by the fast-terminal sliding surface used in the controller. Together, the proposed control scheme has the ability to be robust, fast, and without chatter. We conducted a number of laboratory experiments to evaluate the proposed method and the results support the proposed intention to achieve the objectives defined.