| 引用本文: | 叶凌箭.非线性过程自优化控制的快速算法[J].控制理论与应用,2016,33(1):40~46.[点击复制] |
| YE Ling-jian.A fast algorithm for self-optimizing control of nonlinear plants[J].Control Theory and Technology,2016,33(1):40~46.[点击复制] |
|
| 非线性过程自优化控制的快速算法 |
| A fast algorithm for self-optimizing control of nonlinear plants |
| 摘要点击 3116 全文点击 2184 投稿时间：2015-03-10 修订日期：2015-06-03 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2016.50175 |
| 2016,33(1):40-46 |
| 中文关键词 化工过程 自优化控制 被控变量 非线性过程 |
| 英文关键词 chemical process self-optimizing control controlled variables nonlinear process |
| 基金项目 国家自然科学基金项目(61304081), 浙江省自然科学基金项目(LQ13F030007), 中国博士后科学基金项目(2013M541778), 宁波市创新团队基金项 目(2012B82002, 2013B82005)资助. |
|
| 中文摘要 |
| 针对非线性过程的自优化控制问题, 提出了一种求取被控变量的快速算法. 不同于线性过程的自优化控
制, 本文方法基于系统的非线性模型, 并且最小化全局平均损失. 为快速求解得到的非凸非线性规划问题, 作者对其
进行了简化. 讨论了被控变量解空间的相关特性, 阐述了引入的正交酉约束的合理性, 并进一步提出了求解次优被
控变量的解析法. 对一个数值算例和蒸发过程的研究结果表明, 提出的快速算法是便捷的、有效的. |
| 英文摘要 |
| We investigate the self-optimizing control (SOC) problem for nonlinear processes and propose a fast algorithm
for solving controlled variables (CVs). Being different from those linear SOC methods, the proposed one minimizes the
global average loss based on the rigorous nonlinear model. To quickly solve the derived non-convex linear programming
(LP) problem, simplifications are introduced to the problem. Properties of the CV solution space are discussed to illustrate
the rationality of introducing the orthogonal unitary constraint. On this basis, the analytical solution of suboptimal CVs is
obtained in a further step. The developed methodology is applied to a numerical example and an evaporator process, where
the simplicity and effectiveness of the proposed algorithm are demonstrated. |