大工业过程稳态优化的模糊双迭代法

Fuzzy double-iterative method for steady-state optimization of the large-scale industrial process

中文关键词  大工业过程  模糊不等式约束  模糊双迭代法  稳态优化控制

英文关键词  large-scale industrial process  fuzzy inequality constrains  fuzzy double iterative method  steady-state optimizing control

中文摘要

      在研究大工业过程稳态优化控制算法时, 针对模型–实际存在差异, 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, 同时对子过程的不等式约束进行模糊化处理, 提出具有模糊不等式约束的模糊双迭代法, 通过实际例子研究了模糊双迭代法. 仿真结果表明, 模糊双迭代法目标函数非常接近实际目标函数值、算法迭代次数较精确双迭代法有明显改善. 这对实际生产非常重要.

英文摘要

      Considering the model error of the real system, we propose a double-iterative method for steady-state optimizing control in the large-scale industrial process with fuzzy equality and inequality constraints. The sub-process models, being treated as the equality and the inequality constraints, are fuzzified by introducing to them fuzzy coefficients. The fuzzy double-iterative method is studied. Simulation results show that the solution of the proposed method is very close to the optimal solutions of the real process and provides a faster convergence than that of the exact double-iterative method.