Heuristics for solving the parameter tuning problem in motion cueing algorithms.

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-inthe-loop subjective manner. The authors propose a simulationbased 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.

Keywords

• Plataformas de movimiento
• heurísticas
• simuladores
• algoritmos de control
• ajuste de parámetros
• robótica
• optimización