A Design of Nonlinear Scaling and Nonlinear Optimal Motion Cueing Algorithm for Pilot’s Station  

作　　者：ZHU Daoyang YAN Jun DUAN Shaoli 

机构地区：[1]College of Intelligent Manufacturing,Wuhan Technical College of Communications,Wuhan 430065,Hubei,China

出　　处：《Wuhan University Journal of Natural Sciences》2021年第6期513-520,共8页武汉大学学报（自然科学英文版）

基　　金：Supported by Natural Science Foundation of Hubei Province(2019CFB693);Scientific Research Guiding Project of Education Department of Hubei Province(B2020418)。

摘　　要：Motion cueing algorithms(MCA)are often applied in the motion simulators.In this paper,a nonlinear optimal MCA,taking into account translational and rotational motions of a simulator within its physical limitation,is designed for the motion platform aiming to minimize human’s perception error in order to provide a high degree of fidelity.Indeed,the movement sensation center of most MCA is placed at the center of the upper platform,which may cause a certain error.Pilot’s station should be paid full attention to in the MCA.Apart from this,the scaling and limiting module plays an important role in optimizing the motion platform workspace and reducing false cues during motion reproduction.It should be used along within the washout filter to decrease the amplitude of the translational and rotational motion signals uniformly across all frequencies through the MCA.A nonlinear scaling method is designed to accurately duplicate motions with high realistic behavior and use the platform more efficiently without violating its physical limitations.The simulation experiment is verified in the longitudinal/pitch direction for motion simulator.The result implies that the proposed method can not only overcome the problem of the workspace limitations in the simulator motion reproduction and improve the realism of movement sensation,but also reduce the false cues to improve dynamic fidelity during the motion simulation process.

关 键 词：nonlinear optimal motion cueing algorithm(MCA) nonlinear scaling and limiting pilot’s station dynamic fidelity 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] V211.73[自动化与计算机技术—计算机科学与技术]