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Fault toleranat neuro/neuro-fuzzy controllers for aircraft auto landing with actuator failures and severe winds udud

机译:具有执行器故障和强风的飞机自动着陆的容错神经/神经模糊控制器 ud

摘要

In this talk, we will cover some recent work carried out in our group for developing intelligent flight controllers which can handle failures and also flying under severe winds. Using neural networks and also fuzzy neural networks the controllers are able to handle actuator failures and able to perform similar to those under normal conditions. Specifically, we will look at 1. Neural-aided controller 2. Fuzzy-neural aided controller and 3. Adaptive back stepping neural controller architectures for handling failures under severe winds for an aircraft auto-landing problem. The results indicate that good fault tolerant capabilities can be provided for existing controllers without adding more complexities and computational overhead.
机译:在本次演讲中,我们将介绍团队中为开发智能飞行控制器而进行的一些最新工作,这些控制器可以处理故障并在强风下飞行。使用神经网络以及模糊神经网络,控制器能够处理执行器故障,并且能够执行与正常情况下类似的操作。具体来说,我们将研究1.神经辅助控制器2.模糊神经辅助控制器和3.自适应反步神经控制器体系结构,用于处理飞机自动着陆问题在强风下的故障。结果表明,可以为现有控制器提供良好的容错能力,而不会增加更多的复杂性和计算开销。

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