Abstract
A torque-based nonlinear predictive control approach is developed to manipulate the automotive powertrain in this paper. This approach consists of three components, i.e. torque demand control, nonlinear predictive controller and torque load estimation. A control scheme of torque demand with proportional–derivative (PD) compensator is proposed to meet the torque requirement of drivers. Based on a mean value model of the internal combustion (IC) engine, a torque-based nonlinear predictive controller is designed by use of iterative optimization. A proportional–integral (PI) observer is employed to estimate the torque load of the powertrain. Through experimental validation, it can be concluded that the torque-based nonlinear predictive control approach is a significant candidate for the automotive powertrain to implement dynamic torque control.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.