Title :
Parachute Decelerate Trajectory Optimization Design Based on Genetic Algorithm
Author :
Yong, Zhu ; Li, Liu
Author_Institution :
Sch. of Aerosp. Sci. & Eng., Beijing Inst. of Technol., Beijing
Abstract :
In this paper, the optimal parachute decelerating trajectory of mini-UAVs is studied. The mini-UAV trajectory model of parachute decelerating segment is established. The influences to parachute drag are analyzed and the parachute canopy limit area formula is derived. In order to ensure the time effectiveness of mini-UAVs entering working destination, taking flight time and range as the performance function, considering end velocity and end height as optimization constraints, and choosing parachute parameters-canopy area and parachute opening time as design variables, the optimal decelerating trajectory is solved by sequential quadratic programming method and genetic algorithm. Compared the results of these two kinds of optimized algorithms, their applicability to this decelerating trajectory is analyzed. The mechanism of timeliness during parachute decelerating trajectory is analyzed briefly. A numerical example results indicates the validity of the parachute decelerating trajectory design in this paper, which possesses practical value to guide research of parachute design.
Keywords :
aerospace control; genetic algorithms; position control; quadratic programming; remotely operated vehicles; velocity control; flight range; flight time; genetic algorithm; miniUAV trajectory; optimal parachute decelerating trajectory; optimization constraint; parachute canopy; parachute decelerate trajectory optimization; parachute design; parachute drag; parachute opening time; sequential quadratic programming; velocity; Aerodynamics; Aircraft; Algorithm design and analysis; Design optimization; Drag; Genetic algorithms; Optimization methods; Quadratic programming; Shape; Unmanned aerial vehicles;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072995