Abstract
Although nonlinear model predictive control (NMPC) has become a well-established control approach its application to fast systems with millisecond timescales is still a challenge. In order to reduce the online computational effort significantly, we propose to combine two recently developed techniques: the adjoint based real-time iteration scheme which allows treatment of nonlinear processes while keeping constraint sensitivities fixed and the online active set strategy for fast solution of the resulting parametric quadratic program. Considerable performance enhancement compared with the standard real-time iteration scheme is demonstrated by controlling a system with fast dynamics.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
