Rapid Tuning of the Classical Motion Cueing Algorithm

Numerous non-linear Motion Cueing Algorithms (MCA) have been proposed and developed over the years. However, researchers quite often return to using the Classical Algorithm as a baseline case to compare against their algorithm or as a method to yield consistent phase and gain cues. The current paper presents an updated layout of the Classical Algorithm for ground vehicles that supports rapid parameter optimisation. A simple automated optimisation method is developed. The Classical Algorithm is first tuned and compared with an MPC algorithm and then with a set of objective performance parameters.