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• W2887801906 abstract "In this paper, a nonlinear model predictive control scheme for the control of a waste heat recovery system (WHR) based on the organic Rankine cycle for a heavy duty truck is presented. For dynamic state estimation, a scheme based on the moving horizon estimation technique is used. As a result, the system is controlled using easily measurable quantities as inputs. System nonlinearities, operational constraints and performance optimization criteria are explicitly taken into account. The proposed scheme enables the WHR to generate around 2 [%] more energy than standard PI and LQG controllers." @default.
• W2887801906 created "2018-08-22" @default.
• W2887801906 creator A5052095728 @default.
• W2887801906 creator A5053623605 @default.
• W2887801906 creator A5061841076 @default.
• W2887801906 date "2018-06-01" @default.
• W2887801906 modified "2023-09-24" @default.
• W2887801906 title "A Nonlinear Model-Predictive Control Scheme for a Heavy Duty Truck's Waste Heat Recovery System Featuring Moving Horizon Estimation" @default.
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• W2887801906 doi "https://doi.org/10.23919/acc.2018.8431307" @default.
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