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- W2783116903 abstract "In the development of model predictive controllers (MPC) for a diesel engine air path, tuning the parameters of the controllers to achieve satisfactory performance is challenging, especially whilst adhering to input and safety constraints in the presence of unknown disturbances. The novel MPC structure introduced in a companion paper reduces the number of effective tuning parameters to lower the calibration effort, but does not directly consider the robustness of the controller in handling modelling uncertainties. This paper addresses this challenge by detailing how a constraint tightening-like approach can be augmented to the control architecture through an additional calibration parameter, providing practical robustness to additive state disturbances at steady-state conditions. The robust controller is firstly implemented in simulation, with a comprehensive investigation of its calibration performance under step changes in the fuelling rate. Experimental validation of the controller architecture is then provided for selected tunings of the calibration parameters, showing a similar qualitative and quantitative performance to the simulations. The impact on the closed loop response of the engine through the inclusion of the robustness parameter is shown to be minor, whilst still allowing the remaining parameters to be adjusted for achieving desired output transient responses." @default.
- W2783116903 created "2018-01-26" @default.
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- W2783116903 date "2017-12-01" @default.
- W2783116903 modified "2023-09-28" @default.
- W2783116903 title "Efficient calibration of real-time model-based controllers for diesel engines — Part II: Incorporating practical robustness guarantees" @default.
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- W2783116903 doi "https://doi.org/10.1109/cdc.2017.8263765" @default.
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