Model predictive control of an automotive waste heat recovery system. (December 2018)

• Record Type: Journal Article
• Authors: Koppauer, H.; Kemmetmüller, W.; Kugi, A.
• Is Part Of: Control engineering practice. Volume 81(2018)
• Page Start: 28
• Page End: 42
• Publication Date: 2018-12
• Subjects: Waste heat recovery -- Organic Rankine Cycle -- Nonlinear control -- Model predictive control -- Automotive systems; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2018.09.005
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: This paper proposes a model predictive control strategy for an Organic Rankine Cycle based waste heat recovery system. The control strategy uses a prediction model based on gain scheduling of local models, which results in a quadratic program to efficiently calculate the optimal control inputs. To ensure an optimal system operation, the reference values are obtained from a steady-state optimization. To capture a model-plant mismatch, the control concept features an EKF-based estimator of the model uncertainties. Simulations on a validated simulation model show that this control strategy can track the optimal reference very well, even for a large model-plant mismatch.