Simulation of a Controlled Aircraft Elevator under Sensor Uncertainties

Abstract

In this contribution, a global optimization technique using interval analysis applied to the simulation of an aircraft elevator control system with possible sensor tolerances is presented. The aircraft elevator is described as an uncertain nonlinear discrete time system. Sensor tolerances can be modeled in a natural way by means of interval arithmetics which helps to achieve reliable results in the simulation. However, a simulation approach using merely natural interval extensions leads to overestimations rendering the result useless. Therefore, we employ a global optimization algorithm which allows the inclusion of the actual dynamic system behavior with a predefined and guaranteed overestimation limit. All algorithms are implemented in MATLAB.