A moving horizon technique for the simulation of automobile test‐drives

Abstract

AbstractThe test‐drive of an automobile along a given test‐course can be modeled by formulation of a suitable optimal control problem. For the numerical solution the optimal control problem is discretized by a direct shooting method and transformed into a finite dimensional nonlinear optimization problem. With increasing length of the test‐course, the dimension of the nonlinear optimization problem increases as well and its numerical solution becomes very difficult due to stability reasons. Therefore a moving horizon technique with reduced range of vision for the test‐driver is introduced. Instead of treating the complete test‐course, a comparatively short local sector is considered on which a corresponding local optimal control problem can be solved comfortably. The local solutions are then combined by suitable transient conditions. A numerical example with a realistic car model is given.