Multi-level Cooperation Decoupling Controller Based on Cytokine Network for the Stretching Process

To improve the decoupling effectiveness of multiple variables in polyacrylonitrilc carbon fiber (PANCF) production line, based on the artificial cytokine network (ACN) and its mathmatical model, a network structure of the stretching process was proposed and investigated. With decoupling compensation algorithm embedded in the calculation center, a complete cytokine network based decoupling network (CNDN) was proposed, which realized the decoupling of three variables in the stretching tank:temperature, concentration, and liquid level. Simulation results show that the CNDN not only can rapidly respond the set-points of control variables, but also completely eliminate the influence on other variables coupling with it; moreover, it has a better ability of resistance against the interference.