引用本文:吴婕,沈炯,李益国.热工过程的免疫控制系统设计及稳定性分析[J].控制理论与应用,2009,26(5):.[点击复制]
WU Jie,SHEN Jiong,LI Yi-guo.The Design of the Immune Control System for Thermal Engineering Process and Its Stability Analysis[J].Control Theory and Technology,2009,26(5):.[点击复制]
热工过程的免疫控制系统设计及稳定性分析
The Design of the Immune Control System for Thermal Engineering Process and Its Stability Analysis
摘要点击 1405  全文点击 1077  投稿时间：2008-04-07  修订日期：2008-08-25
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DOI编号  10.7641/j.issn.1000-8152.2009.5.CCTA080297
  2009,26(5):-
中文关键词  免疫应答机理 免疫控制器IFC Popov超稳定性解析解 热工对象
英文关键词  Immune Feedback Theory  IFC(Immune Feedback Controller)  Popov Super-stability Analytical Solutions  Thermal Engineering Processes
基金项目  国家自然科学基金50576011
作者单位E-mail
吴婕 东南大学能源与环境学院 jiewu7@gmail.com 
沈炯* 东南大学能源与环境学院 shenj@seu.edu.cn 
李益国 东南大学能源与环境学院  
中文摘要
      本文借鉴生物免疫应答反馈机理模型，通过模拟抗原，T细胞及B细胞浓度关系，设计抑制T细胞浓度与B细胞浓度之间的非线性函数关系，提出了一类针对热工过程对象的免疫控制器结构IFC（Immune Feedback Controller）。同时，利用Popov超稳定定理，针对有自平衡能力和无自平衡能力的热工对象免疫控制系统进行超稳定性分析，得到热工对象免疫控制的非线性增益，通过将Popov超稳定图像解推广至解析解并得到保证系统稳定性的IFC参数设计范围解析解。最后，选取有自平衡能力的过热汽温对象以及无自平衡能力的汽包水位对象进行分析仿真验证。通过对对象辨识并利用Popov超稳定定理进行系统分析，验证了所得参数设计范围解析解的有效性。仿真结果显示了本文设计的热工对象免疫控制系统具有较强跟踪性能及鲁棒性能。
英文摘要
      This paper describes the design principle, stability analysis and tracking performance with robustness simulation of a novel IFC (Immune Feedback Controller). First, the IFC is derived from the biological immune feedback model based on the imitation of the relationship among antigens, T-cells and B-cells, while a new nonlinear function describing the reaction between restrain T-cells and B-cells is proposed. Then, the Popov super-stability analyses for two types of thermal process immune control systems are present respectively. The nonlinear gain of the control system is gained and the design scale of IFC parameters is derived through extending the Popov super-stability from image solution to analytical solution. Finally, simulation results of the self-balanced superheated stream immune control system and the non-balanced water immune control system prove the analytical solution validation of parameters scope through identifying the processes and analyzing the control system with Popov super-stability theory. The simulations results of thermal process immune control systems with tracking and robustness performance show that the proposed immune control system for thermal process is satisfying.