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

Abstract

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