Autopilot Design Method for the Blended Missile Based on Model Predictive Control

Joint Authors

Yang, Baoqing
Zhao, Yuyu

Source

International Journal of Aerospace Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-02-08

Country of Publication

Egypt

No. of Pages

13

Abstract EN

This paper develops a novel autopilot design method for blended missiles with aerodynamic control surfaces and lateral jets.

Firstly, the nonlinear model of blended missiles is reduced into a piecewise affine (PWA) model according to the aerodynamics properties.

Secondly, based on the equivalence between the PWA model and mixed logical dynamical (MLD) model, the MLD model of blended missiles is proposed taking into account the on-off constraints of lateral pulse jets.

Thirdly, a hybrid model predictive control (MPC) method is employed to design autopilot.

Finally, simulation results under different conditions are presented to show the effectiveness of the proposed method, which demonstrate that control allocation between aerodynamic control surfaces and lateral jets is realized by adjusting the weighting matrix in an index function.

American Psychological Association (APA)

Yang, Baoqing& Zhao, Yuyu. 2015. Autopilot Design Method for the Blended Missile Based on Model Predictive Control. International Journal of Aerospace Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1064536

Modern Language Association (MLA)

Yang, Baoqing& Zhao, Yuyu. Autopilot Design Method for the Blended Missile Based on Model Predictive Control. International Journal of Aerospace Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1064536

American Medical Association (AMA)

Yang, Baoqing& Zhao, Yuyu. Autopilot Design Method for the Blended Missile Based on Model Predictive Control. International Journal of Aerospace Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1064536

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1064536