控制理论与应用2025，Vol.42Issue(8)：1596-1605,10.DOI:10.7641/CTA.2024.40413
基于模糊逻辑和变增益广义超螺旋算法的液冷燃料电池温度控制
Temperature control for liquid-cooled fuel cells based on fuzzy logic and variable-gain generalized supertwisting algorithm
摘要
Abstract
The liquid cooling system(LCS)of fuel cells is challenged by significant time delays,model uncertainties,pump and fan coupling,and frequent disturbances,leading to overshoot and control oscillations that degrade temperature regulation performance.To address these challenges,we propose a composite control scheme combining fuzzy logic and a variable-gain generalized supertwisting algorithm(VG-GSTA).Firstly,a one-dimensional(1D)fuzzy logic controler(FLC)for the pump ensures stable coolant flow,while a two-dimensional(2D)FLC for the fan regulates the stack temperature near the reference value.The VG-GSTA is then introduced to eliminate steady-state errors,offering resistance to disturbances and minimizing control oscillations.The equilibrium optimizer is used to fine-tune VG-GSTA parameters.Co-simulation verifies the effectiveness of our method,demonstrating its advantages in terms of disturbance immunity,overshoot suppres-sion,tracking accuracy and response speed.关键词
液冷燃料电池/温度控制/广义超螺旋算法/模糊控制/平衡优化器Key words
liquid-cooled fuel cell/temperature control/generalized supertwisting algorithm/fuzzy control/equilibrium optimizer引用本文复制引用
陈林,贾志桓,丁天威,高金武..基于模糊逻辑和变增益广义超螺旋算法的液冷燃料电池温度控制[J].控制理论与应用,2025,42(8):1596-1605,10.基金项目
Supported by the Major Science and Technology Project of Jilin Province(20220301010GX)and the International Scientific and Technological Coop-eration(20240402071GH). （20220301010GX）
