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A study of tuning process of fuzzy logic controller output membership function for AUV-pitch control

机译:用于AUV桨距控制的模糊逻辑控制器输出隶属函数调谐过程研究

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This paper explains the study of the tuning process for fuzzy logic controller (FLC) design of an Autonomous Underwater Vehicle (AUV) for pitch-axis control. There is no systematic technique to tune the FLC to achieve a desired set point. The trial and error method is the common approach used in the tuning process of fuzzy logic controller until a satisfactory result is obtained and the performance of the system can be analyzed. The tuning process is made either to the number of fuzzy partitions or the mapping of the membership function so that the results can follow the desired set point and for this case in AUV-pitch control. This paper presents a faster tuning process by altering the mapping of the membership function to get satisfactory output. The algorithm was verified in MATLAB? Simulink platform and compare with the conventional PID controller. The FLC controller is more accurate and better than the PID controller.
机译:本文介绍了用于间距轴控制的自主水下车辆(AUV)的模糊逻辑控制器(FLC)设计的调整过程的研究。没有系统的技术来调整FLC以实现所需的设定点。试验和误差方法是模糊逻辑控制器调谐过程中使用的常用方法,直到获得令人满意的结果并分析系统的性能。调谐过程是对模糊分区的数量或隶属函数的映射,使得结果可以遵循所需的设定点以及在AUV - 音高控制中的这种情况。本文通过改变成员函数映射以获得令人满意的输出来提高调整过程。算法在Matlab中验证了吗? Simulink平台并与传统PID控制器进行比较。 FLC控制器更准确,比PID控制器更好。

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