Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints
نویسندگان
چکیده
منابع مشابه
Unmanned Aerial Vehicle Path Planning Based on Tlbo Algorithm
Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and s...
متن کاملUnmanned Aerial Vehicle (UAV) Cooperative Mission Planning
Unmanned Aerial Vehicle (UAV) is a kind of new operational platform possessing ability to flight autonomously and perform independently a task,which can not only carry out non-attack tasks,such as military reconnaissance, surveillance and search, but also to carry out tasks to air-to-ground attacking, target bombing and so on. With the rapid development of UAVtechnology, more and more UAV will ...
متن کاملFuzzy Adaptive Control of Unmanned Aerial Vehicle for Carrying Time-Varying Cargo on Predefined Path
At present, the use of unmanned aerial vehicles (UAVs) has been increased dramatically. The reasons for this development are cheapness, smallness, simplicity, and diversity of missions. The simplicity of guidance and control of multi-rotor drones is that they are equipped with an autopilot system. This system is responsible for flying control. UAVs do not have a high weight and often have three...
متن کاملProbabilistic Roadmap Based Path Planning for an Autonomous Unmanned Aerial Vehicle
The emerging area of intelligent unmanned aerial vehicle (UAV) research has shown rapid development in recent years and offers a great number of research challenges for artificial intelligence. For both military and civil applications, there is a desire to develop more sophisticated UAV platforms where the emphasis is placed on development of intelligent capabilities. Imagine a mission scenario...
متن کاملParameter Selection for Biogeography-based Optimization in Unmanned Aerial Vehicle Path Planning
Biogeography-based optimization (BBO) has recently become popular in unmanned aerial vehicle (UAV) path planning. Similar to other evolutionary algorithms, the performance of BBO is affected when the parameter setting is not finely tuned. Therefore, the BBO parameters are optimized in this research particularly for application in UAV path planning. Each combination setting of parameters is simu...
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: IEEE Transactions on Robotics
سال: 2015
ISSN: 1552-3098,1941-0468
DOI: 10.1109/tro.2015.2459812