| 引用本文: | 谢亚军,丁宝苍,陈桥.状态空间模型的双层结构预测控制算法[J].控制理论与应用,2017,34(1):69~76.[点击复制] |
| XIE Ya-jun,DING Bao-cang,CHEN Qiao.Double-layered model predictive control of state-space model[J].Control Theory and Technology,2017,34(1):69~76.[点击复制] |
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| 状态空间模型的双层结构预测控制算法 |
| Double-layered model predictive control of state-space model |
| 摘要点击 2943 全文点击 2184 投稿时间：2015-10-25 修订日期：2016-12-26 |
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| DOI编号 10.7641/CTA.2017.50842 |
| 2017,34(1):69-76 |
| 中文关键词 预测控制 状态空间 Kalman滤波 设定值优化 双层结构 |
| 英文关键词 model predictive control (MPC) state-space Kalman filter setpoint optimization double-layered structure |
| 基金项目 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. |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| The so-called double-layered model predictive control (MPC) performs firstly the setpoint optimization,
then the setpoint tracking. Based-on the existing double-layered dynamic matrix control, this paper gives an algorithm for
double-layered MPC based on the state-space model. Based on the disturbance model and the newly defined open-loop predictions,
this algorithm proposes a new open-loop prediction module. This open-loop prediction module adopts the Kalman
filter to obtain the open-loop dynamic/steady-state predictions of manipulated/controlled variables (MVs/CVs). Based on
these open-loop predictions, the steady-state target calculation (SSTC) module is the same as in double-layered dynamic
matrix control, but its details obey the state-space method. Based on the steady-state targets (setpoints) of MVs/CVs
provided by SSTC, the dynamic control module computes the control moves by solving the quadratic programming. The
numerical example verifies the effectiveness of the proposed algorithm. |
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