热工过程的免疫控制系统设计及稳定性分析

Design of the immune control system for thermal engineering process and its stability analysis

中文关键词  免疫反馈机理  免疫反馈控制器  Popov超稳定性解析解  热工对象

英文关键词  immune feedback theory  immune feedback controller  Popov super-stability analytical solutions  thermal engineering processes

中文摘要

      借鉴生物免疫应答反馈机理模型, 模拟抗原, T细胞及B细胞浓度关系, 设计抑制T细胞与B细胞浓度之间的非线性函数关系, 提出一类针对热工过程对象的免疫反馈控制器结构. 利用Popov超稳定定理, 分别针对两类热工对象免疫控制系统进行超稳定性分析; 将Popov超稳定图像解推广至解析解, 得到保证系统绝对稳定的控制器参数范围解析解. 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仿真验证. 通过辨识并利用Popov超稳定定理分析系统, 验证所得参数设计范围解析解的有效性.

英文摘要

      Motivated by biological immune feedback models, we derive a novel immune feedback controller for thermal processes. First, relations among antigens, T-cells and B-cells are relatively completely imitated and a new nonlinear function describing the reaction between the restrained T-cells and B-cells is proposed, and then, the Popov super-stability analyses for two types of thermal process immune control systems are presented respectively. The nonlinear gain of the control system is determined and the design scale of IFC parameters is derived by 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 confirm the analytical solution validity of parameter scope through identifying the processes and analyzing the control system with Popov super-stability theory. The simulation results of thermal process immune control systems with tracking performance show that the proposed immune control system for thermal process is satisfactory.