摘要
燃料电池发动机的温度控制是整个系统控制的重要环节,其控制效果对系统输出性能影响重大;针对发动机温度控制惯性大和超调量大的特点,研究了质子交换膜燃料电池发动机的发电原理及其循环水温度控制系统的结构;结合电加热、风冷与水冷的温度控制方案,提出了利用模糊神经网络控制算法对燃料电池发动机进行温度控制的方法;实验结果表明使用了该算法进行温度控制的燃料电池发动机系统温度响应速度快且超调量小,其动态性能得到了较大的改善。
Temperature control in the fuel cell engine is a key link in the whole system control, and it has an important control effect on the fuel cell engine output performance. In view of the major characteristics in the engine temperature control, such as large inertia and overshoot, this paper has studied the watercircle system structure of proton exchange membrane fuel cell. Comhined with a temperature control method using electricity--heating, wind--cooling and water--cooling, a control method is proposed in this paper, which is using the fuzzy neural network algorithm to realize the fuel celI engine temperature control. The experimental result shows the validity of this method, and there＇s been a great improvement in the control effect.
出处
《计算机测量与控制》
CSCD
北大核心
2010年第3期542-543,546,共3页
Computer Measurement &Control
