Development of a Fuzzy-Controller with a State Machine as a Cognitive Pilot Model for an ILS Approach

Abstract

In the area of airplane system technology aspects of Human Factors or Human Computer Interaction are already significant for a long time. In this context raise the questions: How realistic is a flight simulation? Is it depending on its quality? The investigation of this aspect can be supported by using pilot models. The aim of this work is the development of a fuzzy controller, which can be used as a model of a human pilot during the approach phase of an aircraft. To get information about the control behavior of a human pilot, a pilot performs two ILS approaches in a fix based ground simulator. This information is the data basis for the development of the pilot model. The first design step was to create a fuzzycontroller for the lateral and longitudinal motion. The integration of these two fuzzycontrollers represents the initial fuzzy control system. An intensive analyze of the human control behavior results in the fact that a human pilot operates like a finite state machine with two states: Observation and Control. This aspect was used to develop a second fuzzycontroller. Furthermore, the second fuzzy-controller has to be adapted to a human pilot. Therefore, the structure of the fuzzy-controller was redesigned. At the end the cognitive pilot model was compared with the human pilot by using the Dynamic Time Warp method.