.png){kind=icon}
返回
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform
.png){kind=icon}
PRE
AI
DOI：10.1109/TITS.2021.3106970.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The motion cueing algorithm (MCA) is playing the most critical role in motion simulation platform (MSP) to reproduce the realistic motion sensation of the real car for the MSP's users while taking into cogitation of the physical boundaries of the platform. Recently, the model predictive control (MPC) is employed for designing MCAs which led to the formation of MPC-based MCAs. The purpose of the MPC-based MCA is to recalculate the optimal values of the input signals with consideration of the MSP's physical restrictions. All the current MPC-based MCAs have fix weights that can cause the conservative and inefficient utilization of the MSP's workspace limitations as they have been tuned based on the worst-case scenarios to keep the platforms within their physical limitations. Then, the error of motion sensation between the real car and MSP users increases due to the conservative utilization of the MSP's workspace boundaries. The main objective of this study is to provide more efficient workspace utilization to minimise the error of motion feeling between the real car and MSP users while respecting the workspace boundaries. A procedure according to the optimised fuzzy logic-based units is employed to calculate the appropriate MPC weights online while considering the sensed specific force error, sensed angular velocity error and the current motion status of the MSP including linear position, linear velocity and angular position of the cockpit. The proposed MPC-based MCA is designed and developed using MATLAB. The outcomes show a better motion feeling compared with the current MPC-based MCAs.
Keyword:
Motion cueing algorithm
time-varying weight model predictive control
fuzzy logic
multi-objective genetic algorithm
hexapod platform
期刊
IF:
8.4
论文数:
9.7K
被引数:
6.3W
机构
引用论文
Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm
PREAI
分享收藏
The Role of Competition in the Spacing of Trees in a Burkea africana- Terminalia sericea Savanna.png)
Biotropica
BiotropicaIF0
PREAI
分享收藏Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming通过动态和多参数编程对线性离散时间系统进行显式/多参数模型预测控制 (MPC)AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容