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New hybrid model of proton exchange membrane fuel cell

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第5期8卷 741-747页

作者： WANG Rui-min cao guang-yi ZHU Xin-jian Institute of Fuel Cell Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

Model and simulation are good tools for design optimization of fuel cell systems. This paper proposes a new hybrid model of proton exchange membrane fuel cell (PEMFC). The hybrid model includes physical component and black-box com-ponent. The physical component represents the well-known part of PEMFC, while artificial neural network (ANN) component estimates the poorly known part of PEMFC. The ANN model can compensate the performance of the physical model. This hybrid model is implemented on Matlab/Simulink software. The hybrid model shows better accuracy than that of the physical model and ANN model. Simulation results suggest that the hybrid model can be used as a suitable and accurate model for PEMFC.

关键词： Proton exchange membrane fuel cell (PEMFC) Artificial neural network (ANN) Hybrid model Physical model

LS-SVM model based nonlinear predictive control for MCFC system

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第5期8卷 748-754页

作者： CHEN Yue-hua cao guang-yi ZHU Xin-jian Institute of Fuel Cell Department of Automation Shanghai Jiao Tong University Shanghai 200030 China

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.

关键词： Molten carbonate fuel cell (MCFC) Least squares support vector machine (LS-SVM) Genetic algorithm (GA) Nonlinear predictive controller

Nonlinear modelling of a SOFC stack by improved neural networks identification

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第9期8卷 1505-1509页

作者： WU Xiao-juan ZHU Xin-jian cao guang-yi TU Heng-yong Institute of Fuel Cell Shanghai Jiao Tong University Shanghai 200030 China

The solid oxide fuel cell (SOFC) is a nonlinear system that is hard to model by conventional methods. So far,most existing models are based on conversion laws,which are too complicated to be applied to design a control system. To facilitate a valid control strategy design,this paper tries to avoid the internal complexities and presents a modelling study of SOFC per-formance by using a radial basis function (RBF) neural network based on a genetic algorithm (GA). During the process of mod-elling,the GA aims to optimize the parameters of RBF neural networks and the optimum values are regarded as the initial values of the RBF neural network parameters. The validity and accuracy of modelling are tested by simulations,whose results reveal that it is feasible to establish the model of SOFC stack by using RBF neural networks identification based on the GA. Furthermore,it is possible to design an online controller of a SOFC stack based on this GA-RBF neural network identification model.

关键词： Solid oxide fuel cells (SOFCs) Radial basis function (RBF) Neural networks Genetic algorithm (GA)

Robust Stability of Neutral Systems:A Discretized Lyapunov Functional Method

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Journal of Shanghai Jiaotong university(Science) 2009年第3期14卷 279-285页

作者：李旭光朱新坚曹广益 Department of Automation Shanghai Jiaotong University

This paper focuses on the robust stability for time-delay systems of neutral type. A new complete Lyapunov-Krasovskii function (LKF) is developed. Based on this function and discretization, stability conditions in terms of linear matrix inequalities are obtained. A class of time-varying uncertainty of system matrices can be studied by the method.

关键词： stability time-delay systems discretized Lyapunov functional method

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氧化镁生产工艺的改进

上海交通大学学报 2001年第4期35卷 595-598页

作者：隋升曹广益上海交通大学燃料电池研究所上海200030

针对铵盐循环法存在镁的浸出效果不理想和废渣量比较多的问题 ,提出了以硫酸铵溶液和硫酸两次浸取方法制备氧化镁的新工艺 .以轻烧镁为原料 ,对溶浸和 Mg2 +碳化过程中的主要影响因素 ,如物料粒径、溶浸时间、碳化温度以及配料组成进行... 详细信息

针对铵盐循环法存在镁的浸出效果不理想和废渣量比较多的问题 ,提出了以硫酸铵溶液和硫酸两次浸取方法制备氧化镁的新工艺 .以轻烧镁为原料 ,对溶浸和 Mg2 +碳化过程中的主要影响因素 ,如物料粒径、溶浸时间、碳化温度以及配料组成进行了研究 .该工艺总的镁溶浸率和原料利用率分别达到 95%和 88% ,废渣排放量少 .所制的产品 Mg O含量在 98%以上 ,质量达到了国家优级品标准 .由于产生的酸性废渣和碱性工艺洗涤废水可以互相中和。

关键词：氧化镁轻烧镁铵盐循环法菱镁矿生产工艺硫酸铵两次浸取法镁溶浸率

Current status and challenges in PEMFC stacks,systems and commercialization

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电池 2006年第5期36卷 385-386页

作者：任远曹广益朱新坚上海交通大学燃料电池研究所

The current status of worldwide developments of polymer electrolyte membrane fuel cell (PEMFC) stacks and system,research activities in resent years to analyze the cost of PEMFC stacks and systems, the remaining research and development issues that should be resolved before the PEMFC available for commercial application were discussed. The two main problems that challenge the PEMFC commercialization were cost and fuel supply infrastructure. The ways to lower the cost, to choose the fuel and improve the efficiency and reliability were described. To research the cost target of 125 kW and stack lifetime of 40 000 ～ 100 000h, basic research in PEMFC was indispensable.

关键词： PEMFCstacks system commercialization cost challenges

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时滞系统稳定性分析:一种积分等式方法

控制与决策 2008年第4期23卷 473-476页

作者：李旭光朱新坚曹广益上海交通大学自动化系上海200240

提出一种积分等式方法研究时滞系统稳定性问题.该方法是已有积分不等式方法的改进.结合自由权矩阵构建积分等式,且自由权矩阵的选取由Lyapunov-Krasovskii泛函的导数确定,从而在稳定条件的推导过程中,不引入任何模型转换及限界方法.基... 详细信息

提出一种积分等式方法研究时滞系统稳定性问题.该方法是已有积分不等式方法的改进.结合自由权矩阵构建积分等式,且自由权矩阵的选取由Lyapunov-Krasovskii泛函的导数确定,从而在稳定条件的推导过程中,不引入任何模型转换及限界方法.基于该方法,可得到具有更低保守性的稳定条件.仿真例子说明了所提方法的有效性.

关键词：时滞系统稳定性线性矩阵不等式 Lyapunov-Krasovskii泛函

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含状态和输入时滞的网络控制系统镇定

控制与决策 2007年第7期22卷 825-828,835页

作者：李旭光朱新坚曹广益上海交通大学自动化系上海200030

研究含有更广泛被控对象的网络控制系统镇定问题.假定被控对象含有时变状态和输入时滞,采用Lyapunov-Krasovskii泛函方法分析了系统的稳定性.所提出的方法可转化为线性矩阵不等式的形式,因而可较为容易地求得控制器和广义最大允许时延.... 详细信息

研究含有更广泛被控对象的网络控制系统镇定问题.假定被控对象含有时变状态和输入时滞,采用Lyapunov-Krasovskii泛函方法分析了系统的稳定性.所提出的方法可转化为线性矩阵不等式的形式,因而可较为容易地求得控制器和广义最大允许时延.仿真结果说明了所提出方法的有效性.

关键词：网络控制系统时滞线性矩阵不等式 Lyapunov-Krasovskii泛函

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基于模糊人工势场的移动机器人路径规划

上海理工大学学报 2006年第4期28卷 347-350页

作者：黄炳强曹广益上海交通大学电子信息与电气工程学院上海200030

针对在传统的人工势场法中对机器人进行路径规划时,容易产生局部极小点问题,提出了一种模糊人工势场方法.对排斥力函数作了改进,引入了障碍物对机器人影响大小的斥力增益系数,通过构建的模糊系统,动态地调节斥力增益系数,从而有效地克... 详细信息

针对在传统的人工势场法中对机器人进行路径规划时,容易产生局部极小点问题,提出了一种模糊人工势场方法.对排斥力函数作了改进,引入了障碍物对机器人影响大小的斥力增益系数,通过构建的模糊系统,动态地调节斥力增益系数,从而有效地克服了局部极小点问题.仿真结果表明,该方法具有较强的环境适应能力,能够快速有效地规划出一条光滑的路径.

关键词：模糊人工势场避障路径规划