Model Predictive Control of hybrid systems with discrete and continuous inputs

Y. Hammi, N. Zanzouri, M. Ksouri
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引用次数: 2

Abstract

This paper proposes and discusses a model predictive control approach to hybrid system, with discrete and continuous inputs. The hybrid model of two tank system is translated into mixed logical dynamical (MLD) form, which considering all constraints in the physical plant, such as maximum (flow in the pomp) and maximum level in the tank. The resultant system is well-posed for Model Predictive Control (MPC) that is used as control strategy for the system. Simulations are performed using the Hysdel compiler to illustrate the efficiently of this formalism and prove the influence of increasing the prediction horizon.
具有离散和连续输入的混合系统模型预测控制
提出并讨论了一种离散连续输入混合系统的模型预测控制方法。将两个储罐系统的混合模型转化为混合逻辑动力学(MLD)形式,该模型考虑了物理装置中的所有约束,如最大流量(泵内流量)和储罐最大液位。所得到的系统适合于模型预测控制(MPC)作为系统的控制策略。利用Hysdel编译器进行了仿真,说明了这种形式的有效性,并证明了增加预测范围的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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