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ADAPTIVE OUTPUT FEEDBACK CONTROL OF A SCALE HELICOPTER RESTRICTED TO A 2DOF PLATFORM

机译:限制在2自由度平台上的大规模直升机的自适应输出反馈控制

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In this paper we present the application of the adaptive neural-networktechnique in (Calise, Hovakimyan and Idam, 2001) to the control of the 3DoF model helicopter in (Avila, Brogliato, Dzul and Lozano, 2003). The technique uses feedback linearization, linear (coarse) compensation and adaptive-neural-network (fine) compensation. The description of the technique is presented in a way as self-contained as possible. The helicopter model also includes a one-sided constraint to address take-off and landing, as well as hover. Our study shows that a very simple and poor plant model is adequate, and that the the neural network compensates this, completely on-line, without initial training.
机译:在本文中,我们介绍了自适应神经网络技术(Calise,Hovakimyan和Idam,2001)在3DoF模型直升机的控制中的应用(Avila,Brogliato,Dzul和Lozano,2003)。该技术使用反馈线性化,线性(粗)补偿和自适应神经网络(精细)补偿。以尽可能独立的方式介绍该技术。直升机模型还包括一个侧向约束,以解决起飞和着陆以及悬停的问题。我们的研究表明,非常简单且性能较差的植物模型已足够,并且神经网络无需初始培训即可完全在线地对此进行补偿。

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