Static mathematic model of drum accommodation and control is presented, and instruction model control strategy of sample intervals is presented based on differences between characteristic equations of lifting frame and characteristic equations of top and bottom board change among the sampling spots, the rules of this method are few, simple, easy to operate and meet controlling demands 给出了滚筒调控静态数学模型,并根据调高机构的调控特征方程与采样点间顶底板变化特征方程的差异,给出了在其采样区间内的指令式控制策略,其方法的规则条日少、简单易运算、符合实际控制要求。
Simulation results show the effectiveness of the algorithm . based on the integration of rough set and neural networks, a rough neural network based on predictive model control strategy for alkali recovery boiler control is developed . the framework of alkali recovery dedicated control system is introduced in chapter 5, including system hardware frame and software design and basic functions of system 3)针对碱回收蒸发工段具有强耦合、大时滞的特性,通过分析传统解耦算法的不足,提出了蒸发工段神经网络解耦控制方案,通过仿真证明方法的有效性;同时通过集成粗糙集和神经网络方法,提出了基于粗糙集的神经网络预测模型控制方案,并应用到碱回收炉的控制当中。