Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8050537 | Revista Iberoamericana de Automática e Informática Industrial RIAI | 2017 | 12 Pages |
Abstract
Motion cueing algorithms are commonly used in vehicle simulators to control robotic motion platforms. These algorithms usually have a significant number of parameters that need to be tuned. This process has been traditionally performed in a pilot-in-the-loop subjective manner. The authors propose a simulation-based objective and automatic method using heuristic optimization. Several schemes are proposed, assessed and compared in this paper, showing that a genetic algorithm is the one that suits best this problem.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Sergio Casas, Cristina Portalés, José V. Riera, Marcos Fernández,