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Differential Drive Wheeled Mobile Robot (WMR) Control Using Fuzzy Logic Techniques

机译:利用模糊逻辑技术的差速驱动轮式移动机器人(WMR)控制

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Wheeled Mobile Robot (WMR) is extremely important for active target tracking control and the reactive obstacle avoidance in an unstructured environment. Fuzzy control provides a mechanism for incorporating human-like reasoning capabilities and computationally in control systems. In this paper, a new type of controller based on Fuzzy Logic for differential drive WMR is proposed. The paper begins with design of the WMR which involves the kinematics model and fuzzy controller. Then, simulation and research findings are provided in detail. It was found that the Fuzzy Logic Controller with five membership functions provides better performance compared to that of a seven membership function controller.
机译:轮式移动机器人(WMR)对于主动目标跟踪控制和非结构化环境下的反应式避障非常重要。模糊控制提供了一种机制,可将类人推理能力并以计算方式纳入控制系统。提出了一种基于模糊逻辑的新型差动驱动WMR控制器。本文从涉及运动学模型和模糊控制器的WMR设计开始。然后,详细提供了仿真和研究成果。发现与五个隶属度函数控制器相比,具有五个隶属度函数的模糊逻辑控制器提供了更好的性能。

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