Optimization of very-low-thrust trajectories using evolutionary neurocontrol
نویسندگان
چکیده
منابع مشابه
Optimization of Very-low-thrust Trajectories Using Evolutionary Neurocontrol
Searching optimal interplanetary trajectories for low-thrust spacecraft is usually a difficult and time-consuming task that involves much experience and expert knowledge in astrodynamics and optimal control theory. This is because the convergence behavior of traditional local optimizers, which are based on numerical optimal control methods, depends on an adequate initial guess, which is often h...
متن کاملLow-Thrust Trajectory Optimization and Interplanetary Mission Analysis Using Evolutionary Neurocontrol
Innovative solar system exploration missions require ever larger velocity increments and thus ever more demanding propulsion capabilities. Using for those high-energy missions the stateof-the-art technique of chemical propulsion in combination with (eventually multiple) gravity assist maneuvers results in long, complicated, and inflexible mission profiles. Low-thrust propulsions systems can sig...
متن کاملEvolutionary Neurocontrol: A Novel Method for Low-Thrust Gravity-Assist Trajectory Optimization
The combination of low-thrust propulsion and gravity assists to enhance deep-space missions has proven to be a remarkable task. In this paper, we present a novel method that is based on evolutionary neurocontrollers. Themain advantage in the use of a neurocontroller is the generation of a control law with a limited number of decision variables. On the other hand, the evolutionary algorithm allo...
متن کاملMultiobjective Optimization of Low-thrust Trajectories Using a Genetic Algorithm Hybrid
In low-thrust, gravity-assist trajectory design, two objectives are often equally important: maximization of final spacecraft mass and minimization of time-of-flight. Generally, these objectives are coupled and competing. Designing the trajectory that is best-suited for a mission typically requires a compromise between the objectives. However, optimizing even a single objective in the complex d...
متن کاملMulti-Objective Evolutionary Algorithms for Low-Thrust Orbit Transfer Optimization
We address the problem of optimizing a spacecraft trajectory by using three different multi-objective evolutionary algorithms: i) Non-dominated sorting genetic algorithm, ii) Pareto-based ranking genetic algorithm, and iii) Strength Pareto genetic algorithm. The trajectory of interest is an orbit transfer around a central body when the spacecraft uses a lowthrust propulsion system. We use a Lya...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Astronautica
سال: 2005
ISSN: 0094-5765
DOI: 10.1016/j.actaastro.2005.03.004