Abstract: Precise control of TOA (time of arrival) can provide smart decision support of controlling flight profile for automatic control system. Flight distance is divided into multiple sections, and the fuel consumption model of aircraft in each section is established. Combining with real-time flight status data and ETA (estimated time of arrival), genetic algorithm is used to continuously adjust velocity acceleration of each evenly divided segment, so as to achieve precise control of TOA and realize flight profile optimization. Results prove that the current algorithm converges faster, and TOA error can be controlled within 依4 s, providing help for a new generation of control automation systems.

Key words: TOA, flight profile optimization, automatic control