Title :
A generalized adaptive predictive controller design-based direct identification for district heating system
Author_Institution :
Coll. of Comput. Sci. & Technol., Shandong Economic Univ., Jinan, China
Abstract :
To realize accurate control for district heating system, a GPC (generalized predictive control) adaptive algorithm was presented that directly identified controller´s parameters with two identifiers. The algorithm could adapt characteristics of district heating system such as great inertia, time-varying and large lag. It could omit computation of inverse matrix and Diophantine equations, and then greatly reduce operation process and time. Then, a controller based on the algorithm was designed and applied to the simulation model of heat-exchanging process. Finally, by the simulation, the influence of control weighting parameter and feedforward compensation is analyzed, and the validity of the algorithm is proved.
Keywords :
adaptive control; control system synthesis; feedforward; heat systems; predictive control; Diophantine equations; district heating system direct identification; feedforward compensation; generalized adaptive predictive controller design; great inertia; heat-exchanging process; inverse matrix; Adaptive algorithm; Adaptive control; Algorithm design and analysis; Computational modeling; Control systems; Heating; Predictive control; Programmable control; Temperature control; Time varying systems; adaptive; direct identification; district heating system; generalized predictive control;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191797
