DESIGNING AN EVOLUTIONARY OPTIMAL WASHOUT FILTER BASED ON GENETIC ALGORITHM

• Main Authors: Gharib, A. (Author), Gharib, M.R (Author), Goharimanesh, M. (Author), Koochi, A. (Author)
• Format: Article
• Language: English
• Published: Vilnius Gediminas Technical University 2022
• Subjects: Control; Filter-based; Flight simulator; Flight simulators; Genetic algorithm; Genetic algorithms; Human perception; Modeling; Motion cueing algorithms; Optimal theories; Optimal theory; Real-world; Reliable filters; Scalings; Simulator motion; Washout filter; Washout Filters
• Online Access: View Fulltext in Publisher

 This paper aims to design a reliable filter that can transform the actual motion of a flight simulator maneuver into a logical and understandable movement for its workspace. Motion cueing algorithms are used in scaling maneuvers to improve the user’s perception of real-world motion. As a unique algorithm, the washout-filter algorithm reduces the real motions where the user cannot understand the difference between the actual and simulated maneuvers. To design a proper washout filter, first, apply the inner ear model where humans can feel the motion to design a proper filter. The Otolith and semicircular systems were represented by two parts in this model. Second, an evolutionary theory based on a genetic algorithm is used to design a structure that minimizes human perception error and workspace boundaries. The issue is determining the coefficients in the model in order to create a high-performance flight simulator. The filtering algorithm, based upon the human vestibular model, compares human perception with flight simulator motion knowledge. The findings demonstrate an objective function that minimizes user perception error, and the flight simulator motion range can prepare a reliable washout filter for motion cueing. © 2022 The Author(s). Published by Vilnius Gediminas Technical University.