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固体氧化物燃料电池性能滑模控制研究 被引量:2

Study on Performance of Sliding Mode Control of Solid Oxide Fuel Cells
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摘要 固体氧化物燃料电池因为有复杂的电化学反应过程而具有较强的非线性,使得电池反应气体气压波动大,电池的输小电压难于控制。针对上述问题采用带有滑模观测器的滑模控制方法,使系统气压保持恒定,同时达到电池输出电压稳定的目的。首先对固体氧化物燃料电池进行了机理建模,并引入滑模控制策略;然后针对模型存在的建模误差和外部未知干扰等不确定因素,采用一种采用超螺旋算法的滑模干扰观测器来实现对不确定因素的估计和补偿;最后仿真结果表明,带有滑模观测器的滑模控制策略达到了良好的控制效果,可为固体氧化物燃料电池的性能控制提供参考。 SOFC has strong nonlinearity because of complex electrochemical reaction, the pressure of reaction gas changes badly, the battery output voltage is difficult to control. Aiming at these difficult problems, a sliding mode control strategy was proposed to ensure that the pressure of SOFC system remained constant and then the battery out- put voltage kept stable. First, the physical model of SOFC was built, the sliding mode control strategy was adhibited on the basis. As for the model errors and external unknown disturbance, a sliding mode disturbance observer based on the super-twisting algorithm was designed to estimate and compensate for disturbance. Finally, simulating test was carried out. The simulation results demonstrate that the controller can achieve good control effects and it can provide reference for solid oxide fuel cell performance control.
出处 《计算机仿真》 CSCD 北大核心 2016年第3期99-104,共6页 Computer Simulation
关键词 固体氧化物燃料电池 滑模控制 鲁棒性 滑模干扰观测器 超螺旋算法 Solid oxide fuel cell Sliding mode control Robustness Sliding mode disturbance observer Super twis- ting algorithm
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  • 1张天贺,全书海,张立炎,潘牧.车用PEMFC空气供给系统建模与模糊PID控制研究[J].系统仿真技术,2007,3(4):211-216. 被引量:3
  • 2孙未蒙,郑志强.一种多约束条件下的三维变结构制导律[J].宇航学报,2007,28(2):344-349. 被引量:14
  • 3Lu P, Doman D B, Schierman J D. Adaptive terminal guidance for hypervelocity impact in specified direction [ C ]//AIAA Guidance, Navigation, and Control Conference and Exhibit. San Francisco: AIAA, 2005:2108-2129.
  • 4Hu Z D, Cai H. An adaptive proportional guidance law against ground stationary target [ C ]//The 2nd International Symposium on Systems and Control in Aerospace and Astronautics. Shenzhen: IEEE, 2008.
  • 5Hall C E, Shtessel Y B. Sliding mode disturbance observer-based control for a reusable launch vehicle [ J]. Journal of Guidance, Control, and Dynamics, 2006, 29(6):1315 -1328.
  • 6SEDGHISIGARCHI K, FELIACHI A. Dynamic and transient analysis of power distribution systems with fuel cells-Part Ⅰ: Fuel-cell dynamic model [J]. IEEE Transactions on Energy Conversion, 2004,19(2) :423-428.
  • 7AGUIAR P, ADJIMAN C S, BRANDON N P. Anode-supported intermediate temperature direct internal reforming solid oxide fuel cell.Ⅰ: model-based steady-state performance[J]. Journal of Power Sources, 2004,138( 1-2): 120-136.
  • 8JURADO F. Modeling SOFC plants on the distribution system using identification algorithms[J]. Journal of Power Sources, 2004, 129(2):205-215.
  • 9JURADO F, SAENZ J R, FERNANDEZ L. Modeling fuel cell plants on the distribution system using identification algorithms[C] //Proceedings of the 12^th IEEE Mediterranean Electrotechnical Conference, United States: Institute of Electrical and Electronics Engineers Inc, 2004,3 : 1003-1006.
  • 10JURADO F, ACERO N. Nonlinear model identification of fuel cell power plant[C]//IEEE Africon Conference, 7^th Africon Conference in Africa: Technology Innovation. United States: Institute of Electrical and Electronics Engineers Inc, 2004,2:769-774.

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