Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

This paper presents a fuzzy control strategy for aircraft autolanding under the failures of stuck control surfaces and severe winds. The control strategy incorporates a TSK fuzzy neural network implementing TSK fuzzy model and it aids an existing conventional controller called a Baseline Trajectory Following Controller (BTFC). The TSK fuzzy neural network is trained by the Online Sequential Fuzzy Extreme Learning Machine (Fuzzy-ELM) algorithm. In Fuzzy-ELM algorithm the parameters of fuzzy membership functions need not be adjusted during training and one may simply randomly assign values to them. Performance of the proposed fuzzy control scheme is evaluated for a typical aircraft autolanding with a double failure of left elevator and left aileron stuck at different deflections. The results indicate superior performance of the proposed fuzzy fault tolerant controller.