Model predictive control algorithm for nonlinear chemical processes

被引：0
|
作者：
Tiagounov, AA [1 ]
Weiland, S [1 ]
机构：
[1] Eindhoven Univ Technol, Dept Elect Engn, NL-5600 MB Eindhoven, Netherlands
来源：
2003 INTERNATIONAL CONFERENCE PHYSICS AND CONTROL, VOLS 1-4, PROCEEDINGS: VOL 1: PHYSICS AND CONTROL: GENERAL PROBLEMS AND APPLICATIONS; VOL 2: CONTROL OF OSCILLATIONS AND CHAOS; VOL 3: CONTROL OF MICROWORLD PROCESSES. NANO- AND FEMTOTECHNOLOGIES; VOL 4: NONLINEAR DYNAMICS AND CONTROL | 2003年
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D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper considers MPC algorithm for nonlinear plants using successive linearization. The prediction equation was computed via nonlinear integration. Local linear approximation of the state equation was used to develop an optimal prediction equation for the future states. The output prediction was made linear with respect to the undecided control input moves, which allowed to reduce the MPC optimization problem to a quadratic progrannning problem. The effectiveness of the proposed MPC algorithm is demonstrated on two nonlinear industrial examples.
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页码：334 / 339
页数：6
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