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Nonlinear model predictive control (NMPC) has proven successful in many applications, especially in chemical and process engineering where sampling times are usually in the order of seconds or minutes. Combustion engines show highly nonlinear behaviour and require sampling times of few milliseconds which poses a challenging control problem. We aim at tracking a desired torque profile of a gasoline...
Aim of this study is to compare two variants of the real-time iteration (RTI) scheme in nonlinear model predictive control (NMPC): the standard RTI scheme as described in M. Deihl (2001) and a new adjoint based RTI scheme as described in H. G. Bock et al. (2004) and L. Wirsching (2006). The authors compare their performance on returning a chain of spring connected masses to its steady state, after...
Nonlinear model predictive control (NMPC) has proven successful in many applications, especially in chemical and process engineering where sampling times are usually in the order of seconds or minutes. Combustion engines show highly nonlinear behaviour and require sampling times of few milliseconds which poses a challenging control problem. We aim at tracking a desired torque profile of a gasoline...
Aim of this study is to compare two variants of the real-time iteration (RTI) scheme in nonlinear model predictive control (NMPC): the standard RTI scheme as described in M. Deihl (2001) and a new adjoint based RTI scheme as described in H. G. Bock et al. (2004) and L. Wirsching (2006). The authors compare their performance on returning a chain of spring connected masses to its steady state, after...
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