【摘要】 针对质子交换炉多变量、非线性、强耦合、大滞后等特点,提出一种模糊解耦与预测控制相结合的温度控制策略,以降低系统耦合并提高系统抗干扰能力。首先通过传热机理分析,基于热平衡机理推导出了质子交换炉的简化线性模型,然后基于模糊策略设计模糊解耦控制器,将多变量系统的控制变为多个单变量系统的控制,并对解耦后的系统采用闭环预测控制。仿真结果表明,较传统PID控制和单纯模糊解耦控制,模糊解耦与预测控制相结合的控制方法不仅能够降低系统耦合程度,而且减小了干扰引起的温度波动。由此表明,该方法在多变量非线性系统中是有效的。更多还原

【Abstract】 Aiming at the characteristics of proton exchange furnace such as multivariable,nonlinearity,strong coupling and large lag,a temperature control strategy combining fuzzy decoupling and predictive control was proposed to reduce system coupling and improve system anti-jamming capability.Firstly,through the analysis of heat transfer mechanism,a simplified linear model of the proton exchange furnace was deduced based on the heat balance mechanism.Then the fuzzy decoupling controller was designed based on the fuzzy strategy,and the control of the multivariable system was changed to the control of multiple univariate systems.The decoupled system used closed-loop predictive control.The simulation results show that compared with traditional PID control and simple fuzzy decoupling control,a control method combining fuzzy decoupling and predictive control can not only reduce the degree of system coupling,but also reduce the temperature fluctuation caused by interference.This shows that this method is effective in multivariable nonlinear systems.更多还原