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Model predictive control of continuous stirred tank reactor based on mixed logical dynamical model and its improved algorithm

机译:基于混合逻辑动力学模型的连续搅拌釜反应器模型预测控制及其改进算法

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摘要

Model predictive control based on mixed logical dynamical model can deal with the nolinear effectively,avoid oscillation of subsystem switching, get better control effect. But the mixed integer quadratic programming problem caused by the logic variable leads to computation complexity and long resolving time, it is hard to meet the requirement of real-time. In this paper, logic variable in the optimal variable is handled properly, A parabolic function is added in the performance index. Resolving time is greatly reduced and controller performance is improved. Finally the improved algorithm is applied into the continuous stirred tank reactor, Showing that the method has good control effect.
机译:基于混合逻辑动力学模型的模型预测控制可以有效地处理非线性问题,避免子系统切换的振荡,取得较好的控制效果。但是由逻辑变量引起的混合整数二次规划问题导致计算复杂,求解时间长,难以满足实时性的要求。本文对最优变量中的逻辑变量进行了正确处理,在性能指标中增加了抛物线函数。大大缩短了解决时间,并提高了控制器性能。最后将改进算法应用于连续搅拌釜反应器中,表明该方法具有良好的控制效果。

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