Improved Drive Cycle Following with an ILC Supported Driver Model
Drive cycle following is important for concept comparisons when
evaluating vehicle concepts, but it can be time consuming to develop
good driver models that can achieve accurate following of a specific
velocity profile. Here, a new approach is proposed where a simple
driver model based on a PID controller is extended with an Iterative
Learning Control (ILC) algorithm. Simulation results using a nonlinear
vehicle and control system model show that it is possible to achieve
very good cycle following in a few iterations with little tuning
effort. It is also possible to utilize the repetitive behavior in the
drive cycle to accelerate the convergence of the ILC algorithm even
further.

Lars Eriksson and Mikael Norrlöf
2015
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