Adaptive control of small outboard-powered boats for survey applications

A. Fisher, James H. VanZwieten, T. VanZwieten
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引用次数: 3

Abstract

Four autopilot controllers have been developed in this work that can both hold a desired heading and follow a straight line. These PID, adaptive PID, neuro-adaptive, and adaptive augmenting control algorithms have all been implemented into a numerical simulation of a 33-foot center console vessel with wind, waves, and current disturbances acting in the perpendicular (across-track) direction of the boat's desired trajectory. Each controller is tested for its ability to follow a desired heading in the presence of these disturbances and then to follow a straight line at two different throttle settings for the same disturbances. These controllers were tuned for an input thrust of 2000 N and all four controllers showed good performance with none of the controllers significantly outperforming the others when holding a constant heading and following a straight line at this engine thrust. Each controller was then tested for a reduced engine thrust of 1200 N per engine where each of the three adaptive controllers reduced heading error and across-track error by approximately 50% after a 300 second tuning period when compared to the fixed gain PID, showing that significant robustness to changes in throttle setting was gained by using an adaptive algorithm.
测量用小型舷外动力船的自适应控制
在这项工作中,开发了四个自动驾驶仪控制器,既可以保持所需的航向,又可以沿着直线行驶。这些PID、自适应PID、神经自适应和自适应增强控制算法都被应用到一艘33英尺的中控船的数值模拟中,该中控船的风、波和电流干扰作用于船的预期轨迹的垂直方向。每个控制器都测试其在存在这些干扰的情况下遵循期望航向的能力,然后在相同干扰的两种不同油门设置下遵循直线的能力。这些控制器被调整为2000 N的输入推力,所有四个控制器都表现出良好的性能,当保持恒定的航向并在此发动机推力下沿直线行驶时,没有一个控制器显着优于其他控制器。然后对每个控制器进行了每台发动机推力降低1200牛的测试,与固定增益PID相比,三个自适应控制器在300秒的调整周期后将航向误差和跨航迹误差减少了约50%,这表明使用自适应算法对油门设置的变化具有显著的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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