Constrained model predictive control of PEM fuel cell with guaranteed stability

S. Minagar, Reza Ghaderi, A. R. Noey
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Abstract

In this paper, a constrained model predictive controller with guaranteed stability is proposed for a PEM fuel cell. The aim is to prevent oxygen starvation by controlling the air supply system, when the control system is affected by required stack current as a measurable disturbance. The compressor voltage is controlled to regulate the oxygen excess ratio towards a desired equilibrium to avoid oxygen starvation. A dual-mode controller is utilized to guarantee input-to-state stability. In a neighborhood of the target state, the control action is generated by a local state feedback controller and outside this neighborhood model predictive control is employed. Linear Matrix Inequalities is used to obtain a terminal cost and a local state-feedback control law to satisfy MPC input-to-state stabilization conditions. A nonlinear dynamical model of PEM fuel cell is used as a simulator. Simulation results indicate that the proposed controller leads to improved stability and much less computations with respect to conventional GPC controllers.
保稳定性PEM燃料电池的约束模型预测控制
针对PEM燃料电池,提出了一种具有保证稳定性的约束模型预测控制器。当控制系统受到所需的堆叠电流作为可测量扰动的影响时,其目的是通过控制供气系统来防止缺氧。控制压缩机电压以调节氧气过剩比,使其达到所需的平衡,以避免缺氧。采用双模控制器保证输入到状态的稳定性。在目标状态的邻域内,控制动作由局部状态反馈控制器产生,在邻域模型外采用预测控制。利用线性矩阵不等式得到满足MPC输入-状态稳定条件的终端代价和局部状态反馈控制律。采用PEM燃料电池的非线性动力学模型作为仿真模型。仿真结果表明,与传统的GPC控制器相比,该控制器具有更好的稳定性和更少的计算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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