具有模糊约束的大工业过程的关联平衡法

Interaction Balance Method for Large-scale IndustrialProcesses with Fuzzy Constraints

研究稳态大工业过程的递阶优化控制算法时 ,针对模型 -实际存在差异以及实际约束条件有一定伸缩性的问题 ,将子过程模型作为等式约束 ,通过引入模糊系数使其转化为模糊等式约束 ,同时对子过程原有的不等式约束进行模糊化处理 ,提出具有模糊约束的关联平衡法 ,进而研究了两种情形 (开环和有全局反馈 )的关联平衡法。仿真结果表明 。

The interaction balance method with fuzzy constraints is proposed for steady state large-scale industrial processes under steady-state optimization with the consideration of the model-reality difference problem and the constraints of processes being of flexibility. In this approach, the models that are treated as equality constraints and the inequality constraints of the subprocesses are all fuzzified. Two cases of the interaction balance method are studied: the open-loop IBM and the IBM with global feedback. Simulation results show that the solutions of the proposed method with global feedback are very close to the optimal solutions of the real processes.