PEMFC发电系统FFRLS在线辨识和实时最优温度广义预测控制方法

发布时间：2018-02-27 22:06

本文关键词： 空冷型质子交换膜燃料电池最优温度特性广义预测控制遗忘因子递推最小二乘在线辨识　出处：《中国电机工程学报》2017年11期 　论文类型：期刊论文

【摘要】：质子交换膜燃料电池(proton exchange membrane fuel cell,PEMFC)发电系统是21世纪最有前景的发电技术之一。针对空冷型PEMFC发电系统工作温度对输出性能影响问题,该文通过理论分析和实验手段研究发电系统输出性能的最优特性。根据空冷型PEMFC发电系统温度控制对象所具有的非线性、迟滞、时变等特点,提出基于FFRLS在线辨识的PEMFC发电系统实时最优温度广义预测控制。其中,FFRLS在线辨识算法用于对非线性控制对象进行建模和在线校正。在搭建的空冷型PEMFC测控实验平台上,通过实验研究控制器参数对于系统性能的影响。阶跃响应实验结果表明:提出的控制方法能够在不同负载条件下实现对电堆最优温度进行实时跟踪。与常规PID控制比较,系统的超调量减少了约32.3%,发电系统输出功率更平稳,有利于发电系统的长期稳定运行,延长电堆的使用寿命。
[Abstract]:Proton exchange membrane fuel cell PEMFC (proton exchange membrane fuel cell) system is one of the most promising power generation technologies in 21th century. In view of the effect of operating temperature on output performance of air-cooled PEMFC power generation system, a proton exchange membrane fuel cell (PEM) system is proposed. In this paper, the optimal characteristics of output performance of power generation system are studied by theoretical analysis and experimental means. According to the nonlinear, hysteresis and time-varying characteristics of temperature control object of air-cooled PEMFC power generation system, A real-time optimal temperature generalized predictive control (GPC) for PEMFC generation system based on FFRLS on-line identification is proposed. The algorithm is used to model and calibrate nonlinear control objects. The experimental results show that the proposed control method can track the optimal temperature of the stack under different load conditions in real time. Compared with the conventional PID control, the proposed method can track the optimal temperature of the stack in real time. The overshoot of the system is reduced by about 32.3.The output power of the power generation system is more stable, which is conducive to the long-term stable operation of the power generation system and prolongs the life of the stack.
【作者单位】：西南交通大学电气工程学院;
【基金】：国家科技支撑计划项目(2014BAG08B01) 国家自然科学基金项目(61473238,51407146) 四川省杰出青年基金(2015JQ0016)~~
【分类号】：TM911.4

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