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

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

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 be...

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Main Authors: Baoqing Yang, Yuyu Zhao
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2015/718036
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spelling doaj-fca38008d57e47eea8a7931b77cf15422020-11-24T22:39:19ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742015-01-01201510.1155/2015/718036718036Autopilot Design Method for the Blended Missile Based on Model Predictive ControlBaoqing Yang0Yuyu Zhao1Control and Simulation Center, Harbin Institute of Technology, Harbin 150001, ChinaControl and Simulation Center, Harbin Institute of Technology, Harbin 150001, ChinaThis 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.http://dx.doi.org/10.1155/2015/718036
collection DOAJ
language English
format Article
sources DOAJ
author Baoqing Yang
Yuyu Zhao
spellingShingle Baoqing Yang
Yuyu Zhao
Autopilot Design Method for the Blended Missile Based on Model Predictive Control
International Journal of Aerospace Engineering
author_facet Baoqing Yang
Yuyu Zhao
author_sort Baoqing Yang
title Autopilot Design Method for the Blended Missile Based on Model Predictive Control
title_short Autopilot Design Method for the Blended Missile Based on Model Predictive Control
title_full Autopilot Design Method for the Blended Missile Based on Model Predictive Control
title_fullStr Autopilot Design Method for the Blended Missile Based on Model Predictive Control
title_full_unstemmed Autopilot Design Method for the Blended Missile Based on Model Predictive Control
title_sort autopilot design method for the blended missile based on model predictive control
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2015-01-01
description 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.
url http://dx.doi.org/10.1155/2015/718036
work_keys_str_mv AT baoqingyang autopilotdesignmethodfortheblendedmissilebasedonmodelpredictivecontrol
AT yuyuzhao autopilotdesignmethodfortheblendedmissilebasedonmodelpredictivecontrol
_version_ 1725709487406317568

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