Trajectory Planning of Quadrotor Systems for Various Objective Functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00348531" target="_blank" >RIV/68407700:21230/21:00348531 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1017/S0263574720000247" target="_blank" >https://doi.org/10.1017/S0263574720000247</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1017/S0263574720000247" target="_blank" >10.1017/S0263574720000247</a>
Alternative languages
Result language
angličtina
Original language name
Trajectory Planning of Quadrotor Systems for Various Objective Functions
Original language description
Quadrotors are unmanned aerial vehicles with many potential applications ranging from mapping to supporting rescue operations. A key feature required for the use of these vehicles under complex conditions is a technique to analytically solve the problem of trajectory planning. Hence, this paper presents a heuristic approach for optimal path planning that the optimization strategy is based on the indirect solution of the open-loop optimal control problem. Firstly, an adequate dynamic system modeling is considered with respect to a configuration of a commercial quadrotor helicopter. The model predicts the effect of the thrust and torques induced by the four propellers on the quadrotor motion. Quadcopter dynamics is described by differential equations that have been derived by using the Newton–Euler method. Then, a path planning algorithm is developed to find the optimal trajec- tories that meet various objective functions, such as fuel efficiency, and guarantee the flight stability and high-speed operation. Typically, the necessary condition of optimality for a constrained opti- mal control problem is formulated as a standard form of a two-point boundary-value problem using Pontryagin’s minimum principle. One advantage of the proposed method can solve a wide range of optimal maneuvers for arbitrary initial and final states relevant to every considered cost function. In order to verify the effectiveness of the presented algorithm, several simulation and experiment stud- ies are carried out for finding the optimal path between two points with different objective functions by using MATLAB software. The results clearly show the effect of the proposed approach on the quadrotor systems.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ17-16900Y" target="_blank" >GJ17-16900Y: Stabilization and control of teams of relatively-localized micro aerial vehicles in high obstacle density areas</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Robotica
ISSN
0263-5747
e-ISSN
1469-8668
Volume of the periodical
39
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
137-152
UT code for WoS article
000601240200010
EID of the result in the Scopus database
2-s2.0-85085742502