The purpose of this study is to apply a stochastic optimal control method to the guidance of an aircraft. The aircraft is given optimal control to make a final approach through a microburst, a hazardous weather phenomenon for low-flying aircraft that may cause accidents during landing. As the determination of the size and the strength of a microburst always involves uncertainty, its precise detection is difficult. To minimize the risk of accidents, we must account for system uncertainty, a difficult task using conventional optimization techniques, which cannot handle random variables. This paper aims to solve this problem by employing a stochastic optimization algorithm that incorporates the generalized polynomial chaos method into a conventional direct method. The generalized polynomial chaos method is a numerical technique for solving stochastic differential equations. To demonstrate the effectiveness of the proposed algorithm, we conduct a numerical simulation in which an aircraft flies through a microburst and attempts to land. The results of the simulation successfully verify its effectiveness.
Optimal Aircraft Control in Stochastic Severe Weather Conditions
2016
Article (Journal)
English
Modeling of Aircraft Routes Under Severe Weather Conditions
TIBKAT | 2022
|Optimal stochastic control and aircraft gust alleviation
AIAA | 1971
|