DocumentCode :
2009590
Title :
Generalized Predictive Control for Constraint Hybrid System
Author :
Han, Pu ; Zhang, Yue ; Wang, Dong F. ; Xu, Da P.
Author_Institution :
North China Electr. Power Univ., Baoding
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
2495
Lastpage :
2498
Abstract :
Aiming at the properties of the object of the hybrid system, the modeling method based on the mixed logic dynamical (MLD) model has been introduced, the continuous dynamic process and the discrete dynamic process in the hybrid system are expressed into state space equations with mixed-integer inequality constraints. Through the enlargement of the classical generalized predictive control (GPC)´s object, the mixed integer quadratic programming is used to get the best GPC´s control rule of the hybrid system with constraints. The simulation result shows that the GPC based on MLD model is able to stabilize the hybrid system on the desired output, and the system has better characters.
Keywords :
continuous systems; discrete systems; integer programming; predictive control; quadratic programming; stability; state-space methods; constraint hybrid system; continuous dynamic process; discrete dynamic process; generalized predictive control; mixed integer quadratic programming; mixed logic dynamical model; stability; state space equation; Automatic control; Automation; Control systems; Electronic mail; Equations; Logic; Power system modeling; Predictive control; Predictive models; Process control; constraint; generalized predictive control; hybrid system; mixed logic dynamical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376811
Filename :
4376811
Link To Document :
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