| LS-SVM model based nonlinear predictive control for MCFC system |
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| 作者姓名： | CHEN Yue-hua CAO Guang-yi ZHU Xin-jian |
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| 作者单位： | Institute of Fuel Cell，Department of Automation，Shanghai Jiao Tong University，Shanghai 200030，China |
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| 基金项目： | Project (No. 2003 AA517020) supported by the Hi-Tech Researchand Development Program (863) of China |
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| 摘 要： | This paper describes a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). In order to improve MCFC’s generating performance, prolong its life and guarantee safety, it must be controlled efficiently. First, the output voltage of an MCFC stack is identified by a least squares support vector machine (LS-SVM) method with radial basis function (RBF) kernel so as to implement nonlinear predictive control. And then, the optimal control sequences are obtained by applying genetic algorithm (GA). The model and controller have been realized in the MATLAB environment. Simulation results indicated that the proposed controller exhibits satisfying control effect.
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| 关 键 词： | 熔融碳酸岩燃料电池 MCFC系统 非线性预测控制器 LS-SVM模型 最小二乘法支持向量机 |
| 收稿时间： | 2006-03-23 |
| 修稿时间： | 2006-10-21 |
LS-SVM model based nonlinear predictive control for MCFC system |
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| CHEN Yue-hua CAO Guang-yi ZHU Xin-jian.LS-SVM model based nonlinear predictive control for MCFC system[J].Journal of Zhejiang University Science,2007,8(5):748-754. |
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| Authors: | Chen Yue-hua Cao Guang-yi Zhu Xin-jian |
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| Institution: | (1) Institute of Fuel Cell, Department of Automation, Shanghai Jiao Tong University, Shanghai, 200030, China |
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| Abstract: | This paper describes a nonlinear model predictive controller for regulating a molten carbonate fuel cell(MCFC). In order to improve MCFC's generating performance,prolong its life and guarantee safety,it must be controlled efficiently. First,the output voltage of an MCFC stack is identified by a least squares support vector machine(LS-SVM) method with radial basis function(RBF) kernel so as to implement nonlinear predictive control. And then,the optimal control sequences are obtained by applying genetic algorithm(GA). The model and controller have been realized in the MATLAB environment. Simulation results indicated that the proposed controller exhibits satisfying control effect. |
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| Keywords: | Molten carbonate fuel cell (MCFC) Least squares support vector machine (LS-SVM) Genetic algorithm (GA) Nonlinear predictive controller |
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