Multimodel Predictive Control Approach for UAV Formation Flight

Joint Authors

Che, Jun
Ru, Chang-jian
Wang, Ying-ying
Wei, Rui-xuan

Source

Mathematical Problems in Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-05

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

Formation flight problem is the most important and interesting problem of multiple UAVs (unmanned aerial vehicles) cooperative control.

In this paper, a novel approach for UAV formation flight based on multimodel predictive control is designed.

Firstly, the state equation of relative motion is obtained and then discretized.

By the geometrical method, the characteristic points of state are determined.

Afterwards, based on the linearization technique, the standard linear discrete model is obtained at each characteristic state point.

Then, weighted model set is proposed using the idea of T-S (Takagi-Sugeno) fuzzy control and the predictive control is carried out based on the multimodel method.

Finally, to verify the performance of the proposed method, two different simulation scenarios are performed.

American Psychological Association (APA)

Ru, Chang-jian& Wei, Rui-xuan& Wang, Ying-ying& Che, Jun. 2014. Multimodel Predictive Control Approach for UAV Formation Flight. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-501910

Modern Language Association (MLA)

Ru, Chang-jian…[et al.]. Multimodel Predictive Control Approach for UAV Formation Flight. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-501910

American Medical Association (AMA)

Ru, Chang-jian& Wei, Rui-xuan& Wang, Ying-ying& Che, Jun. Multimodel Predictive Control Approach for UAV Formation Flight. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-501910

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-501910