Gust Alleviation Flight Controller Using Robust Model Predictive Control

This paper addresses the design problem of flight controllers for suppressing aircraft motions due to wind gust, i.e. Gust Alleviation (GA) problem. As LIght Detection And Ranging (LIDAR) system which can detect even clear air turbulences ahead of aircraft has recently been developed, flight controllers which exploit the prior gust information obtained using LIDAR systems have been desired. On this issue, we have already proposed flight controllers using Model Predictive Control (MPC) scheme; however, all the state variables in the aircraft motion model are assumed to be exactly available. In this note, we extend our previous result to more realistic situations in which there exist measurement errors in both the current state variables of aircraft motions and the prior gust data under some plant uncertainties. Using our proposed GA flight controllers, we show several examples which examine the feasibility of GA problem.