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A continuous-time formulation of nonlinear model predictive control

 

作者: MASOUD SOROUSH,   COSTAS KRAVARIS,  

 

期刊: International Journal of Control  (Taylor Available online 1996)
卷期: Volume 63, issue 1  

页码: 121-146

 

ISSN:0020-7179

 

年代: 1996

 

DOI:10.1080/00207179608921835

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A model predictive approach is used to derive a continuous-time, nonlinear feedback control law for open-loop stable, single-input single-output processes with deadtime. The derived model predictive control law minimizes a quadratic performance index in the presence of input constraints and process deadtime. A key feature of the control law is that, for its implementation, one does not need to perform an online optimization. In the absence of constraints, the control law in special cases is identical to the feedback controllers that have already been derived using a geometric approach. The connections between the derived control law and (a) the globally linearizing control and (b) the linear internal model control are established. The model predictive approach provides some insight into the problem of constraint handling in geometric control methods. The application of the theory is illustrated by a chemical reactor example.

 

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