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Implementation of Fuzzy Logic Method for Lifting Control System on Autonomous Underwater Vehicles

机译:自主水下车辆升降控制系统模糊逻辑方法的实现

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The AUV navication system can move autonomously in water using various methods. the implementation of lifting control system at AUV is needed to maintain the stability of the AUV when lifting under water. In this paper, the lifting process of AUV uses the fuzzy method. The fuzzy method is used for rule-based decision-making in solving problems, which are made in simulation on the program. AUV has 2 sonar sensors, which are located on the front and the part is located at the rear. Sonar sensors are useful for knowing there are obstacles under AUV. Furthermore, the input will be processed into the microcontroller using the fuzzy method and the output of the microcontroller will produce a PWM value that will regulate the speed of the motor. The distance of the sensor testing starts from 30 cm which is a minimum distance of up to 150 cm which is the maximum distance, with 25 rule bases. the results obtained are in accordance with the system designed.
机译:AUV导航系统可以使用各种方法在水中自主移动。 需要在AUV下实施升降控制系统以在水下升降时保持AUV的稳定性。 在本文中,AUV的提升过程使用模糊方法。 模糊方法用于解决问题的基于规则的决策,这是在程序上模拟中进行的。 AUV有2个声纳传感器,位于前部,部分位于后部。 声纳传感器对于知道AUV的障碍是有用的。 此外,将使用模糊方法将输入处理到微控制器中,并且微控制器的输出将产生将调节电机速度的PWM值。 传感器测试的距离从30厘米开始,最小距离高达150厘米,最大距离,具有25个规则基础。 获得的结果符合设计的系统。

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