An MPC-based position controller for a tilt-rotor tricopter VTOL UAV
This study presents a novel framework, namely, the fusion of a conventional controller and a linear model predictive controller, for the position control of a tilt-rotor tricopter. While the conventional controller in the outer loop is responsible for the position control, the inner-loop model predi...
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| Main Authors: | , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/87277 http://hdl.handle.net/10220/44383 |
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| 總結: | This study presents a novel framework, namely, the fusion of a conventional controller and a linear model predictive controller, for the position control of a tilt-rotor tricopter. While the conventional controller in the outer loop is responsible for the position control, the inner-loop model predictive control–based controller handles the angular dynamics and vertical body velocity. Furthermore, a novel control allocation algorithm for the proposed controller is introduced. In addition, this study also covers mathematical modeling and trim analysis of the tilt-rotor tricopter dynamics. An evaluation of the designed control system is accomplished with a nonlinear 6-degree-of-freedom simulation model of the tilt-rotor tricopter in which realistic actuator limitations are considered. The efficiency of the proposed control algorithm is elaborated for a trajectory tracking problem where basic surveillance operation is considered. The simulation results show that the proposed model predictive controller is able to provide a satisfactory trajectory tracking performance under the realistic actuator limits. |
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