The Design of the Immune Control System for Thermal Engineering Process and Its Stability Analysis
热工过程的免疫控制系统设计及稳定性分析

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.