Multiple Model Predictive Control of Waste  Heat Recovery Systems based on Organic Rankine Cycle

doi:10.16182/j.issn1004731x.joss.201711030

Abstract

Abstract: A multiple model predictive control strategy based on offline linear model is proposed for controlling the ORC-based WHRSs (waste heat recovery systems). The proposed control strategy is described for a wide operation region of the ORC system. A switching mechanism considering both instant output errors of each model and error accumulation is applied for the switch of local controllers in different operation regimes. Simulation results demonstrate that the proposed method can effectively regulate the evaporating pressure and the superheating temperature for the ORC-based WHRS throughout a wide operation region.

Key words: ORC, waste heat recovery system, wide operation region, multiple model predictive control

CLC Number:

TP13

Han Pu, Zhang Ting. Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle[J]. Journal of System Simulation, 2017, 29(11): 2811-2819.

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Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle

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