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COCKPIT VIEW VEHICLEudGAME SIMULATORS FORudMASSIVE PARALLEL ARRAYS PLATFORM BASEDudON NEURAL-FUZZY SYSTEMS

机译:驾驶舱查看车辆模拟器游戏基于大规模并行阵列平台关于神经模糊系统

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摘要

This research is an extended investigation of using game simulator to the Massive Actuator Array platform. Twoudkind of prototypes cockpit view game simulators are designed to be implemented to the platform. The two prototypes areudAircraft and ground All-terrain vehicle game simulator. The aircraft simulator is made by OGRE3D engine and SDL, whileudthe ATV simulator used NVidia PhysX engine. The controller of aircraft simulator is a joystick and/ or keyboard buttonsudand the controller of ATV simulator are steering wheel and/udor keyboard. The output of this neuro-fuzzy network will beudused to control the movement of the actuator Massive Array platform. From the simulation results we concluded that theudtwo game simulators prototypes have been made correctly. In addition, some constraints are also added to the simulator inudorder to give real environment, such as clouds and wind effects on aircraft as well as the effects of flat road, off road, ice,udsand and mud on land vehicles. Regarding the Simulator performances show that both prototypes are suitable to beudimplemented to the Actuator Massive Array platform.
机译:这项研究是将游戏模拟器用于Massive Actuator Array平台的扩展研究。两种原型的驾驶舱视图游戏模拟器均设计为可在平台上实现。这两个原型是飞机和地面全地形车辆游戏模拟器。飞机模拟器由OGRE3D引擎和SDL制成,而ATV模拟器则使用NVidia PhysX引擎。飞机模拟器的控制器是操纵杆和/或键盘按钮,而ATV模拟器的控制器是方向盘和/或键盘。该神经模糊网络的输出将用于控制执行器Massive Array平台的运动。从仿真结果可以得出结论: udtwo游戏模拟器原型已正确制作。另外,一些约束也按顺序添加到模拟器中,以提供真实的环境,例如飞机上的云层和风影响以及陆地车辆上的平坦路,越野,冰, udsand泥土影响。关于仿真器的性能表明,这两个原型都适用于 Actuator Massive Array平台。

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