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Dynamic operability analysis for stable and unstable linear processes
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DOI：10.1021/ie070599c.png)
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Dynamic operability analysis determines the achievable control performance for a given process. Based on open-loop models, such analysis is useful in revealing controllability problems in the early process design stages. This paper presents a new approach to dynamic operability analysis based on the concept of passive systems. It is well-known that passive systems are very easy to control. The lack of passivity of a nonpassive process can be quantified by using an input feedforward passivity (IFP) or an output feedback passivity (OFP) index, which measures how much feedforward/feedback is required to render the process passive. A nonminimum phase stable process usually has a shortage of IFP and thus needs a controller with an excessive OFP to ensure closed-loop stability. Excessive OFP of the controller represents the upper limit of the controller gain. Therefore, the shortage of IFP of a stable process can be used to determine its achievable performance. This analysis is then extended to unstable processes using coprime factorization. Numerical methods for dynamic operability analysis for both stable and unstable processes are developed in this paper.
Keyword:
RESILIENCY DIAGNOSIS
CONTROLLABILITY
DESIGN
PLANTS
TOOL
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3.9
论文数:
4.0W
被引数:
9.6W
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