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引用次数: 26
摘要
水下航行器是高度非线性和复杂的系统,这使得设计自动驾驶仪非常困难。本文提出了一种微型rov自动驾驶仪参数的自整定方法。这个过程的主要好处是不需要知道过程的模型。自动调谐通常用于工业过程,但不适用于船舶。该过程在闭环中完成,完全自动化,当ROV性能下降时(由于不同的操作点、缆绳影响、电流等),操作人员可以重新调整自动驾驶仪。在本文中,我们使用了已知的不同的自动调优建议(主要是为0型进程设计的),并进行了一些修改,我们建议将其用于微型rov。我们还给出了使用不同类型的PID控制器的结果,这些控制器的参数是经过调整的。在VideoRay Pro II微型rov上进行了真实的演示
Underwater vehicles are highly nonlinear and complex systems, that makes designing autopilots extremely difficult. This paper presents autotuning as a method for tuning parameters of a micro-ROV autopilot. The main benefit of this procedure is that the model of the process does not have to be known. Autotuning is often used for industrial processes but not on marine vessels. This procedure, which is performed in closed-loop, is completely automated and enables the operator to retune an autopilot whenever ROV performance is degraded (due to different operating points, tether influence, currents, etc.). In this article we use already known different autotuning recommendations (primarily designed for type 0 processes) with some modifications which we recommend for micro-ROVs. We also give results of using different types of PID controllers, whose parameters are being tuned. A real life demonstration on a VideoRay Pro II micro-ROV is provided