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Designing an intelligent fuzzy PID controller for controlling and directing military unmanned vehicles

机译:设计一种智能模糊PID控制器来控制和指挥军用无人机

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The most important issue in unmanned vehicles moving is path planning and path following. One of the most influential factors in this field is the capability of path following by these vehicles. Here, the PID traditional control is combined with the fuzzy control algorithm and presented as a response. The Kalman filter has also been used to identify the control path for determining the parameters of the model.
机译:无人机行驶中最重要的问题是路径规划和路径跟踪。在该领域中最有影响力的因素之一是这些车辆的跟踪能力。 PID传统控制在这里与模糊控制算法结合在一起,并作为响应呈现。卡尔曼滤波器也已被用于识别用于确定模型参数的控制路径。

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