Improvement of Stability in Aircraft Landing System by Using Model Predictive Control

The primary focus of this project is to design and develop Model Predictive Control (MPC) in aircraft landing application. MPC is a control methodology that has been applied with significant impact on industrial plants. This thesis describes the models of the aircrafts systems and also finds a method to improve the stability of aircrafts during landing and safety issue in various wind conditions. In addition to that, this thesis also combines this predictive manner into the MPC algorithm for aircraft ability recovery. In this thesis there are some results that are generated by MPC and other controller such as Cerebella Model Articulation Controller (CMAC) and Proportional-Integral-Derivative (PID) to show how MPC can be employed to improve aircraft safety. Also there are many programming using MATLAB for design ideal method to close viewpoint in some different situation and reduce the adverse effect of the wind for performance of the aircrafts