| Iterative learning control of SOFC based on ARX identification model |
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| 作者姓名： | HUO Hai-bo ZHU Xin-jian TU Heng-yong |
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| 作者单位： | Fuel Cell Research Institute，Department of Automation，Shanghai Jiao Tong University，Shanghai 200240，China |
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| 基金项目： | Project (No. 2006AA05Z148) supported by the Hi-Tech Research and Development Program (863) of China |
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| 摘 要： | This paper presents an application of iterative learning control (ILC) technique to the voltage control of solid oxide fuel cell (SOFC) stack. To meet the demands of the control system design, an autoregressive model with exogenous input (ARX) is established. Firstly, by regulating the variation of the hydrogen flow rate proportional to that of the current, the fuel utilization of the SOFC is kept within its admissible range. Then, based on the ARX model, three kinds of ILC controllers, i.e. P-, PI- and PD-type are designed to keep the voltage at a desired level. Simulation results demonstrate the potential of the ARX model applied to the control of the SOFC, and prove the excellence of the ILC controllers for the voltage control of the SOFC.
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| 关 键 词： | 自动控制技术 燃料电池 输入设备 计算机学习控制技术 |
| 收稿时间： | 2007-07-30 |
| 修稿时间： | 2007-10-08 |
Iterative learning control of SOFC based on ARX identification model |
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| HUO Hai-bo ZHU Xin-jian TU Heng-yong.Iterative learning control of SOFC based on ARX identification model[J].Journal of Zhejiang University Science,2007,8(12):1921-1927. |
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| Authors: | Huo Hai-bo Zhu Xin-jian Tu Heng-yong |
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| Institution: | (1) Fuel Cell Research Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China |
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| Abstract: | This paper presents an application of iterative learning control (ILC) technique to the voltage control of solid oxide fuel cell (SOFC) stack. To meet the demands of the control system design, an autoregressive model with exogenous input (ARX) is established. Firstly, by regulating the variation of the hydrogen flow rate proportional to that of the current, the fuel utilization of the SOFC is kept within its admissible range. Then, based on the ARX model, three kinds of ILC controllers, i.e. P-, PI- and PD-type are designed to keep the voltage at a desired level. Simulation results demonstrate the potential of the ARX model applied to the control of the SOFC, and prove the excellence of the ILC controllers for the voltage control of the SOFC. |
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| Keywords: | Autoregressive model with exogenous input (ARX) Iterative learning control (ILC) Solid oxide fuel cell (SOFC) Identification |
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