Integrated PID controller design for an unmanned aerial vehicle with static stability

This paper presents an integrated guidance and control (IGC) design method for an unmanned aerial vehicle with static stability which is described by a nonlinear six-degree-of-freedom (6-DOF) model. The model is linearized by using small disturbance linearization. The dynamic characteristics of pitc...

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Main Authors: Li, R., Shi, Y., Xu, Honglei
Format: Journal Article
Published: Cambridge University Press 2013
Online Access:http://hdl.handle.net/20.500.11937/52221
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author Li, R.
Shi, Y.
Xu, Honglei
author_facet Li, R.
Shi, Y.
Xu, Honglei
author_sort Li, R.
building Curtin Institutional Repository
collection Online Access
description This paper presents an integrated guidance and control (IGC) design method for an unmanned aerial vehicle with static stability which is described by a nonlinear six-degree-of-freedom (6-DOF) model. The model is linearized by using small disturbance linearization. The dynamic characteristics of pitching mode, rolling mode and Dutch rolling mode are obtained by analysing the linearized model. Furthermore, an IGC design procedure is also proposed in conjunction with a proportional-integral-derivative (PID) control method and fuzzy control method. A PID controller is applied in the control loop of the elevator and aileron, and the attitude angle and attitude angular velocity are used as compensation feedback, giving a simple and low-order control law. A fuzzy control method is applied to perform the cross-coupling control of rolling and yawing. Finally, the 6-DOF simulation shows the effectiveness of the developed method. Copyright © 2013 Australian Mathematical Society.
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institution Curtin University Malaysia
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publishDate 2013
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spelling curtin-20.500.11937-522212017-09-13T15:39:43Z Integrated PID controller design for an unmanned aerial vehicle with static stability Li, R. Shi, Y. Xu, Honglei This paper presents an integrated guidance and control (IGC) design method for an unmanned aerial vehicle with static stability which is described by a nonlinear six-degree-of-freedom (6-DOF) model. The model is linearized by using small disturbance linearization. The dynamic characteristics of pitching mode, rolling mode and Dutch rolling mode are obtained by analysing the linearized model. Furthermore, an IGC design procedure is also proposed in conjunction with a proportional-integral-derivative (PID) control method and fuzzy control method. A PID controller is applied in the control loop of the elevator and aileron, and the attitude angle and attitude angular velocity are used as compensation feedback, giving a simple and low-order control law. A fuzzy control method is applied to perform the cross-coupling control of rolling and yawing. Finally, the 6-DOF simulation shows the effectiveness of the developed method. Copyright © 2013 Australian Mathematical Society. 2013 Journal Article http://hdl.handle.net/20.500.11937/52221 10.1017/S1446181113000199 Cambridge University Press restricted
spellingShingle Li, R.
Shi, Y.
Xu, Honglei
Integrated PID controller design for an unmanned aerial vehicle with static stability
title Integrated PID controller design for an unmanned aerial vehicle with static stability
title_full Integrated PID controller design for an unmanned aerial vehicle with static stability
title_fullStr Integrated PID controller design for an unmanned aerial vehicle with static stability
title_full_unstemmed Integrated PID controller design for an unmanned aerial vehicle with static stability
title_short Integrated PID controller design for an unmanned aerial vehicle with static stability
title_sort integrated pid controller design for an unmanned aerial vehicle with static stability
url http://hdl.handle.net/20.500.11937/52221