Driving simulators have been used in the automotive industry for many years because of their ability to perform tests in a safe, reproducible and controlled immersive virtual environment. The improved performance of the simulator and its ability to recreate in-vehicle experience for the user is established through motion cueing algorithms (MCA). Such algorithms have constantly been developed with model predictive control (MPC) acting as the main control technique. Currently, available MPC-based methods either compute the optimal controller online or derive an explicit control law offline. These approaches limit the applicability of the MCA for real-time applications due to online computational costs and/or offline memory storage issues. This research presents a solution to deal with issues of offline and online solving through a hybrid approach. For this, an explicit MPC is used to generate a look-up table to provide an initial guess as a warm-start for the implicit MPC-based MCA. From the simulations, it is observed that the presented hybrid approach is able to reduce online computation load by shifting it offline using the explicit controller. Further, the algorithm demonstrates a good tracking performance with a significant reduction of computation time in a complex driving scenario using an emulator environment of a driving simulator.
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Deutsches Zentrum für Luft- und Raumfahrt (DLR) German Aerospace Center（德国航空航天中心）；Institute for Intelligent Systems Research and Innovation, Deakin University（迪肯大学智能系统研究与创新学院）；Institute of Flight Systems, German Aerospace Center（德国航空航天中心飞行系统研究所）；Swinburne University（斯威本科技大学）
Six-DoF Stewart Platform Motion Simulator Control using Switchable Model Predictive Control
School of Information Engineering, Pingdingshan University（平顶山学院信息工程学院）；School of Aerospace, Transport and Manufacturing, Cranfield University（克兰菲尔德大学航空航天、运输与制造学院）；College of Civil Aviation, Nanjing University of Aeronautics and Astronautics（南京航空航天大学民航学院）
