| 引用本文: | 邹涛,王丁丁,丁宝苍,于海斌.积分过程预测控制的稳态分析及反馈校正[J].控制理论与应用,2014,31(2):165~174.[点击复制] |
| ZOU Tao,WANG Ding-ding,DING Bao-cang,YU Hai-bin.Steady-state analysis and feedback correction of model predictive control for integrating process[J].Control Theory and Technology,2014,31(2):165~174.[点击复制] |
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| 积分过程预测控制的稳态分析及反馈校正 |
| Steady-state analysis and feedback correction of model predictive control for integrating process |
| 摘要点击 2997 全文点击 2161 投稿时间：2013-07-15 修订日期：2013-08-30 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2014.30728 |
| 2014,31(2):165-174 |
| 中文关键词 模型预测控制 多变量过程 积分控制 稳态分析 模型失配 不可测扰动 |
| 英文关键词 model predictive control (MPC) multi-variable process integrated control steady-state analysis model-plant mismatch unmeasured disturbance |
| 基金项目 国家自然科学基金资助项目(61374112, 61174095, 61004051); 中国科学院知识创新资助项目(KGCX2-EW-104); 浙江省自然科学基金资助项目(Y12F030052). |
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| 中文摘要 |
| 多变量积分过程的控制, 一直是预测控制理论研究与应用过程中的难点问题. 现有的研究成果更多的关注
于算法的实现上, 而很少关注理论依据. 本文从积分过程的控制输入平衡关系出发, 利用线性代数方程组解的相容
性原理, 得到了一个适用于判断多变量积分过程设定点是否可达的判据, 可以作为算法能否实现多变量积分过程无
静差控制的理论依据. 同时分析了传统算法无法在存在模型失配情况下对积分过程进行优化与控制的原因, 利用
补偿因子重新设计反馈校正环节, 使改进后的算法能够实现存在模型失配过程的优化与控制, 并通过仿真验证了本
文提出的结论. |
| 英文摘要 |
| The control of multivariable integrating process has always been a difficult issue in model predictive control
for both the academic researches and applications. The existing researches pay more attention to the algorithm design
rather than to the theoretical analyses. This paper starts from the balance of the control input for the integrating process,
and applies the compatibility principle of linear algebraic equations to determine whether the set-points are reachable,
establishing a theoretical basis for the double-layered predictive control. The poor control performance of model predictive
control (MPC) in model mismatch is analyzed, and a compensation factor is employed for updating the algorithm so that it
can be used to control the integral process with model-plant mismatch. Simulation results validate the effectiveness of the
improved algorithm. |
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