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PID like fuzzy logic control of an Unmanned Underwater Vehicle

机译:PID像无人水下车辆的模糊逻辑控制

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Recently, Applications of Unmanned Underwater Vehicles (UUVs) in coastal, offshore, petroleum and military industries are widely increased. So, design of controllers which can satisfy performance throughout the mission is really important. In this purpose, according to nonlinear and time varying dynamics of an UUV with six degree of freedom, we suggest new PID like fuzzy logic controller which can cover desired control objects in roll, pitch and yaw angles. In this case because of using linguistic rules which are based on human knowledge, designed fuzzy controllers have good simplicity and reliability. Then complexity reduced and also controller can better adapt itself with unpredictable uncertainty such as sea currents or the effect of noise on the sensors which influence on UUV performance. As Simulation results show despite of existence uncertainties, suitable commands tracking in yaw, pitch and roll angles achieved by designed PID like fuzzy controller. Also for implementation fuzzy part of designed controller we use regression analysis which is one of the best as implementation method.
机译:最近,无人驾驶水下车(UUV)在沿海,海上,石油和军事行业的应用得到了广泛的增加。因此,可以满足整个任务性能的控制器设计非常重要。从此目的,根据UUV的非线性和时间变化动态,具有六度自由度,我们建议新的PID如模糊逻辑控制器,其可以覆盖辊,间距和偏航角中的所需控制对象。在这种情况下,由于使用基于人类知识的语言规则,所设计的模糊控制器具有良好的简单性和可靠性。然后,复杂性降低,并且控制器还可以更好地适应不可预测的不确定性,例如海流等诸如影响UUV性能的传感器上的噪音的影响。由于仿真结果表明,尽管存在不确定性,但是通过设计的PID如模糊控制器所实现的偏航,俯仰和滚动角度进行合适的命令。此外,对于设计控制器的实施模糊部分,我们使用回归分析,这是最好的实现方法之一。

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