Title :
Constrained predictive control based on state space model of Organic Rankine Cycle system for waste heat recovery
Author :
Zhang, Jianhua ; Zhou, Yeli ; Gao, Song ; Hou, Guolian
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
Due to the advantages of recovering energy from low-grade heat sources, Organic Rankine Cycle (ORC) system is adopted as the primary technology for waste heat recovery. As the ORC system is a multivariable system with high complexity and nonlinear coupling, the conventional control strategy may not achieve satisfactory results. In this paper, the application of constrained model predictive control (MPC) for an ORC system is demonstrated. The simulation results are given to illustrate the efficiency and feasibility of the proposed control strategy.
Keywords :
multivariable control systems; nonlinear control systems; predictive control; waste heat; MPC; ORC system; constrained model predictive control; energy recovery; multivariable system; nonlinear coupling; organic rankine cycle system; state space model; waste heat recovery; Fluids; Heat engines; Heat recovery; Predictive control; Predictive models; Resistance heating; Waste heat; Constrained predictive control; Multivariable control; Organic Rankine Cycle;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244032
