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Path tracking and obstacle avoidance of a FPGA-based mobile robot (MRTQ) via fuzzy algorithm

机译:路径跟踪和避免FPGA的移动机器人(MRTQ)通过模糊算法

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In this paper, a fuzzy algorithm is implemented on a FPGA-based mobile robot, called MRTQ (Mobile Robot of University of Tehran & Qazvin Azad University)—which could be regarded as an embedded system—for line tracking and obstacle avoidance purposes. MRTQ is a mobile robot platform which is developed for industrial researches and education purposes. As the first step, for the sake of validity of the proposed fuzzy rules, 30 rules in total are envisaged. Then, preliminary simulations are implemented in MATLAB. Moreover, as the main contribution of this work, the foregoing rules are implemented on FPGA. Several practical tests reveal the effectiveness of the proposed fuzzy rules for which MRTQ was able to track the path more precisely and softly in different speeds and avoid the detected obstacle through the path readily.
机译:在本文中,在基于FPGA的移动机器人上实施了一种模糊算法,称为MRTQ(德黑兰大学移动机器人) - 可被视为嵌入式系统,用于线路跟踪和避免避免目的。 MRTQ是一个用于工业研究和教育目的而开发的移动机器人平台。作为第一步,为拟议的模糊规则有效期,设想了30条规则。然后,在MATLAB中实现初步模拟。此外,作为这项工作的主要贡献,上述规则在FPGA上实施。几种实际测试揭示了MRTQ能够更精确地追踪路径,以不同的速度更加柔和地跟踪路径,并避免通过路径更容易地避免检测到的障碍物。

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