Subspace-Modeling-Based Nonlinear Measurement for Process Design

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• 作者：XinJiang Lu ; MingHui Huang ; YiBo Li ; Min Chen
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2011
• 出版时间：December 7, 2011
• 年：2011
• 卷：50
• 期：23
• 页码：13457-13465
• 全文大小：985K
• 年卷期：v.50,no.23(December 7, 2011)
• ISSN：1520-5045

文摘

In industry, many nonlinear processes can be approximated well by a linear model under a suitable design parameter, upon which a linear controller can effectively control these processes. The key problem is how to find this suitable design parameter, which is never considered in process design. In this paper, a novel design for control approach is proposed to design the process to have a satisfactory linear approximation. First, a subspace-modeling-based nonlinear measurement is proposed to avoid the infinite dimensional optimization problem in the traditional nonlinearity measurement. Then a particle-swarm-optimization-based design approach is developed to obtain the optimal design parameter through solving the nonconvex and nondifferential measurement problem. Finally, the proposed design is applied to design a practical curing oven and compared with the existing design.