控制理论(社会学)
解耦(概率)
空气压缩机
线性化
气流
计算机科学
工程类
控制工程
非线性系统
控制(管理)
量子力学
机械工程
物理
航空航天工程
人工智能
作者
Dafeng Song,Qingtao Wu,Xiaohua Zeng,Xuanming Zhang,Dongpo Yang,Qifeng Qian
标识
DOI:10.1177/09544070231172239
摘要
The optimal tracking control of air pressure and air flow is an important guarantee to improve the output characteristics of fuel cells. However, under the load disturbances scenario, the optimal control effect is difficult to guarantee. In order to solve this problem, this paper proposes a new control method based on real-time disturbances observation and MPC optimal control. The decoupling of air pressure and air flow is realized by feedback linearization, and then an extended state observer is designed to achieve accurate estimation of load disturbances. Based on the principle of optimal output power of the fuel cell system, the reference trajectory of air pressure and air flow is obtained. Based on this, the optimal MPC controller is designed to achieve accurate tracking of air pressure and air flow by controlling the motor voltage of the air compressor and the opening of the back pressure valve. Under load disturbances, compared with feedback linearization control, improved tracking and robust performances of the proposed strategy can be exhibited through offline and online tests, the net power of PEMFCs is increased by 3%.
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