灰狼优化算法在越野车设计过程中的应用

M. Kryszczak, M. Kaminski
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引用次数: 0

摘要

本文研究了在恶劣外部条件下工作的车辆的设计、建模和实现。本文所描述的工作主要分为两大类,第一类是与电机调速控制器的优化有关。为此,使用了元启发式算法- GWO(灰狼优化器)。接下来,项目将重点放在硬件准备上。真实模型的一个重要假设是基于底盘两个独立部件的构造。它可以在困难的地形中更好地移动。为了确保车辆在操作员无法直接控制的情况下能够实现转向,开发了专门的控制应用程序(针对PC机),并使用了无线视觉系统。对速度控制结构进行了仿真和实验验证,并对整个模型进行了评价。
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Grey Wolf Optimizer Applied for Design Process of Off-Road Vehicle
Presented paper deals with design, modeling and realization of vehicle arranged for work in difficult external conditions. Works described in the article can be divided into two main groups, the first of them is related to optimization of speed controller used for motor. For this purpose, metaheuristic algorithm – GWO (Grey Wolf Optimizer) was used. Next, project is focused on hardware preparation. Important assumption for real model is construction based on two independent parts of the chassis. It leads to possibilities of better movement in difficult terrain. To ensure the possibility of steering the vehicle, out of direct availability for operator, special control application (for PC computer) was developed and a wireless vision system was used. The speed control structure was tested in simulations and experimentally, then the whole created model was evaluated.
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