scholarly journals Using a Nonlinear Model Predictive Control strategy for the efficient operation of a solar-powered membrane distillation system

Author(s):  
Juan D. Gil ◽  
Lidia Roca ◽  
Alba Ruiz-Aguirre ◽  
Guillermo Zaragoza ◽  
Jose Luis Guzman ◽  
...  
2019 ◽  
Vol 20 (10) ◽  
pp. 1025-1036 ◽  
Author(s):  
Eugen Nuss ◽  
Maximilian Wick ◽  
Jakob Andert ◽  
Jochem De Schutter ◽  
Moritz Diehl ◽  
...  

Gasoline-controlled auto ignition is a promising technology capable of reducing both fuel consumption and emissions at the same time. There are, however, challenges to overcome in order to make practical use of it. One area of research addresses methods that guarantee stable combustion as gasoline-controlled auto ignition is very sensitive to disturbances. This article investigates the capability of nonlinear model predictive control to ensure stable combustion while maintaining efficient operation. For this purpose, a suitable gasoline-controlled auto ignition model is selected and identified using measurement data of a single-cylinder test bed. Building upon this model, a controller based on nonlinear model predictive control is derived and analyzed by means of simulation. The investigation shows that the control manages to follow prescribed set points, also for late combustion, and indicates promising results with respect to real-time computation constraints.


Author(s):  
Paul Zeman ◽  
Wolfgang Kemmetmüller ◽  
Andreas Kugi

Variable displacement axial piston units are the core components of many hydrostatic and hydraulic hybrid drive trains. Therein, the fast and accurate control of the swash plate angle, utilizing the full possible dynamics of the displacement system, is essential for a good performance of the overall drive train. This paper describes the development, implementation, and the experimental validation of a control strategy for the swash plate angle based on nonlinear model predictive control (NMPC). A tailored mathematical model, which serves as the basis for the NMPC, is described in the first part of the paper. Two versions of NMPC, an indirect and a direct method, are compared with respect to their numerical complexity and their capability of handling input and state constraints. An observer strategy, which is designed to obtain the nonmeasurable states and varying parameters of the system, completes the overall control strategy. To reduce the negative influence of stick–slip friction, the concept of dithering is applied in the experimental implementation. The differences of the NMPC methods are analyzed by simulation studies and experiments. Finally, the experimental results, using an industrial electronic control unit (ECU), prove the practical feasibility and the improved control accuracy and robustness in comparison to classical (nonlinear) control strategies.


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