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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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