1 option
Model Predictive Control of DOC Temperature during DPF Regeneration Ford Motor Company
- Format:
- Conference/Event
- Author/Creator:
- Kim, Kim, author.
- Conference Name:
- SAE 2014 World Congress & Exhibition (2014-04-08 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2014
- Summary:
- AbstractThis paper presents the application of model predictive control (MPC) to DOC temperature control during DPF regeneration. The model predictive control approach is selected for its advantage - using a model to optimize control moves over horizon while handling constraints. Due to the slow thermal dynamics of the DOC and DPF, computational bandwidth is not an issue, allowing for more complex calculations in each control loop. The control problem is formulated such that all the engine control actions, other than far post injection, are performed by the existing production engine controller, whereas far post injection is selected as the MPC manipulated variable and DOC outlet temperature as the controlled variable. The Honeywell OnRAMP Design Suite (model predictive control software) is used for model identification, control design and calibration. The paper includes description of the DPF regeneration process, model identification and validation results, control design and trade-off analysis and experimental validation of the controller on a Ford Superduty diesel truck
- Notes:
- Vendor supplied data
- Publisher Number:
- 2014-01-1165
- Access Restriction:
- Restricted for use by site license
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