Abstract:In the application of flight simulator, it is required that the aircraft simulation model quickly relocates to a specific state according to the training subject requirements, so it is crucial to quickly obtain the initial state parameter values of the aircraft. This paper proposes a trimming algorithm based on an improved Powell algorithm and an aircraft flight dynamics model, obtaining state variables and control inputs that enable the aircraft to achieve stable flight, thus realizing the relocation of aircraft motion state parameters. Furthermore, based on the solved motion parameters and aircraft system simulation principles, a repositioning method for aircraft system state parameters is proposed, forming an algorithm architecture for flight simulator repositioning. This algorithm has been applied to a specific model of a flight simulator, ensuring stable flight during the initial phase of simulation, with minimal visual and motion platform disturbances, thereby enhancing the logical consistency and realism of the simulation training, and has a faster solving speed.