Study on the control course of ANFIS based aircraft auto-landing

The control model in the course of an aircraft auto landing is first proposed. Then, the common basic hypotheses in the design of a fuzzy logic controller are described. The fuzzy inference system of an aircraft auto landing fuzzy controller in the course of automatic control on landing is investigated. The auto landing model for controlling, membership functions of state variables, inference rules in the system, algorithms for fuzzy inference and defuzzification, etc, are analyzed and devised in detail with the emphasis on optimal analysis and design of Takagi Sugeno ALFC based on adaptive neural fuzzy inference systems. Finally, the simulation for verification and analysis of the designed schemes is made by utilizing Simulink and fuzzy logic toolbox with MATLAB. The simulated results show that the ANFIS based T S type ALFC scheme has excellent behavior in performance.