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Stable Fuzzy State Space Controller for Lateral Control of an AGV

机译:用于AGV横向控制的稳定模糊状态空间控制器

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The primary focus of the paper is on the development of an intelligent control scheme, which is insensitive to parametric uncertainty, load and parameter fluctuations and most importantly amenable for real time implementation. In this paper, we present a stable Lateral Fuzzy Controller (LAFC) for an outdoor Autonomously Guided Vehicle (AGV), which is a converted electrically powered golf-car. The controller performance is assessed Both through simulations and experimental results. It is established that the fuzzy logic controller (FLC) yields good Performance even under uncertain and variable parameters in the model, unlike the computed torque technique (CTT) or conventional PID control. In terms of real-time implementation the reduced computational complexity of the fuzzy controller as compared to the CTT, makes the fuzzy controller, an ideal choice amongst the two schemes.
机译:本文的主要重点是开发智能控制方案,该方案对参数不确定性,负载和参数波动不敏感,最重要的是可以实时实施。在本文中,我们提出了一种用于室外自动制导车辆(AGV)的稳定的横向模糊控制器(LAFC),该车辆是改装的电动高尔夫车。通过仿真和实验结果评估控制器的性能。建立的模糊逻辑控制器(FLC)即使在模型中的不确定参数和可变参数下也能产生良好的性能,这与计算转矩技术(CTT)或常规PID控制不同。在实时实现方面,与CTT相比,模糊控制器的计算复杂度降低,这使得模糊控制器成为两种方案之间的理想选择。

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