状态空间模型的双层结构预测控制算法

发布时间：2018-05-05 18:18

本文选题：预测控制 + 状态空间　；参考：《控制理论与应用》2017年01期

【摘要】：双层结构预测控制是指先进行设定值优化、再进行设定值跟踪的预测控制.在已有的双层结构动态矩阵控制的基础上,本文给出基于状态空间模型的双层结构预测控制算法.该算法基于干扰模型和新定义的开环预测值,给出了新的开环预测模块.该开环预测模块采用Kalman滤波方法得到操作变量、被控变量的开环动、稳态预测值.基于这些开环预测值,稳态目标计算模块的基本原理同双层结构动态矩阵控制,但是具体细节上遵循状态空间方法.动态控制模块基于稳态目标计算提供的操作变量、被控变量的稳态目标(设定值),采用二次规划算法计算控制作用.仿真算例证实了该算法的有效性.
[Abstract]:The double layer structure predictive control refers to the predictive control of the set value optimization first, and then the predictive control of the set value tracking. On the basis of the existing dynamic matrix control of the two-layer structure, this paper presents a two-layer structure predictive control algorithm based on the state space model. The algorithm is based on the interference model and the newly defined open loop prediction value, and a new open loop is given. The open loop prediction module uses the Kalman filtering method to get the operating variable, the open loop of the controlled variable and the steady state prediction value. Based on these open loop prediction values, the basic principle of the steady-state target calculation module is controlled by the dynamic matrix of the double layer structure, but the specific details follow the state space method. The dynamic control module is based on the steady state. The operating variables provided by the standard calculation, the steady state target of the controlled variable (set value), and the two programming algorithms are used to calculate the control effect. The simulation example proves the effectiveness of the algorithm.

【作者单位】：西安交通大学电子与信息工程学院自动化系;
【基金】：国家高技术研究发展计划(“863”计划)项目(2014AA041802) 国家自然科学基金项目(61573269) 陕西省自然科学基金项目(2016JM6049)资助~~
【分类号】：TP273

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