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在研究大工业过程的递阶优化控制算法时 ,针对模型_实际差异问题 ,将子过程的数学模型中的系数处理为模糊数 ,提出了基于模糊模型的大工业过程的稳态混合协调算法 .研究了两种具有模糊参数的混合算法 :开环的和有全局反馈的混合协调算法 .与基于精确系数模型的混合算法相比基于模糊模型的混合算法收敛更快 ,目标函数更好 .
In the research of hierarchical optimization control algorithm for large industrial processes, aiming at the problem of model-actual difference, the coefficients in the mathematical model of the sub-process are treated as fuzzy numbers. A steady-state hybrid coordination algorithm based on fuzzy model for large industrial processes is proposed. Two kinds of hybrid algorithms with fuzzy parameters are studied: open-loop and global feedback hybrid coordination algorithm.Compared with the hybrid algorithm based on the exact coefficient model, the hybrid algorithm based on the fuzzy model converges faster and the objective function is better.