Lambda整定单输入模糊控制器用于遥控车辆深度控制的性能分析

Fauzal Naim Zohedi, M. Aras, H. Kasdirin, Mohd Bazli Bahar, M. K. Aripin, F. A. Azis
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摘要

水下遥控机器人(ROV)是代替人类执行水下任务的重要工具。在海洋工业中,ROV被用来进行水下监视或观察。由于水下环境的不确定性和ROV本身的动力学特性,给ROV的深度轨迹控制带来了困难。采用Lambda整定单输入模糊逻辑(SIFLC)控制器对ROV进行深度轨迹控制。对Lambda SIFLC进行了开式和闭式ROV的性能分析。闭式ROV模型为一阶系统,开式ROV模型为二阶系统。利用MATLAB Simulink进行了瞬态响应分析。Lambda SIFLC的实现显著改善了系统的瞬态响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of Lambda Tuning Single Input Fuzzy Logic Controller for Remotely Operated Vehicle depth control
Underwater Remotely Operated Vehicle (ROV) is important to substitute human in doing underwater task. In marine industries, ROV is used to do underwater surveillance or observation. Due uncertainty of underwater environment and dynamic of ROV itself, depth trajectory control of ROV is difficult. Lambda tuning single input fuzzy logic (SIFLC) controller was implemented to the ROV to control the depth trajectory of the ROV. Performance analysis of Lambda SIFLC had been conducted for open frame and close frame ROV. The close frame ROV model is first order system while the open frame ROV is second order system. The transient responds analysis had been made using MATLAB Simulink. The implementation of the Lambda SIFLC shows significant improvement in the transient responds of the system.
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