Constrained Predictive Control Based on State Space Model of Organic Rankine Cycle System for Waste Heat Recovery
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.
Organic Rankine Cycle Multivariable control Constrained predictive control
Jianhua Zhang Yeli Zhou Song Gao Guolian Hou
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
230-234
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）