Internal Model Control Based on Singular Value Decomposition and Its Application to Non-square Processes
-
摘要: 针对复杂工业生产过程中常常出现的输入与输出变量数目不相等的非方系统, 首次提出一种基于奇异值分解(Singular value decomposition, SVD)的内模控制(Internal model control, IMC)新方法. 该方法通过添加补偿项实现对非方系统的解耦并消除不可实现因素, 并应用SVD矩阵理论设计一种非对角型滤波器, 使控制系统不仅具备良好的高维解耦能力和响应速度快的优点, 而且因设置新型滤波结构而具备极强的鲁棒性. 仿真结果表明了这种方法的有效性和可靠性.Abstract: A novel internal model control (IMC) method based on singular value decomposition (SVD) is proposed for the non-square processes of which the input numbers do not equal the output numbers in complicated industrial manufacturing processes. The method can realize decoupling of non-square processes and eradicating unrealizable factors by inserting compensated terms. Meanwhile, a non diagonal filter is designed on the basis of SVD matrix theory, which makes control system not only bear the capacity of high-dimensional decoupling and fast response, but also have strong robustness due to the novel filtering structure. Simulation results have proved the effectiveness and reliability of the proposed method.
计量
- 文章访问数: 1723
- HTML全文浏览量: 44
- PDF下载量: 1055
- 被引次数: 0