Automatic landing trajectory control of aircraft based on Iterative-LQR algorithm

Liu, Zhen; Yang, Tao; Li, Zhongjian; Li, Zhipeng

doi:10.1109/ifeea57288.2022.10038260

Cited by 1 publication

(2 citation statements)

References 8 publications

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“…Besides, with the combing momentum law and Bernoulli equation, the approximate value of u e can be obtained, then incorporating Equation (27), w e is expressed as…”

Section: Model Of Rotor and Shroud Under Aero-propulsion Coupling Effectmentioning

confidence: 99%

“…This algorithm linearizes the dynamics by Taylor expansion; then, based on Bellman's principle [24], the input sequence is obtained in the backward pass, while the state sequence is updated in the forward pass, finally, the optimal solution is obtained through cyclic iteration [25]. In recent years, the MPC based on ILQR methods has been gradually applied and achieved good results [15,26,27].…”

Section: Introductionmentioning

confidence: 99%

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The Modeling and Control of a Distributed-Vector-Propulsion UAV with Aero-Propulsion Coupling Effect

Xia,

Zhou

2024

Aerospace

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A novel distributed-vector-propulsion UAV (DVPUAV) is introduced in this paper, which has the capability of Vertical takeoff and landing (VTOL), and can realize relatively high-speed cruise. As the core of the DVPUAV, the propulsion wing designed under the guidance of the integration idea is not only a lifting body but also a propulsion device and a control mechanism. However, this kind of aircraft has a series of difficult problems with complex aero-propulsion coupling, flight modes switching, and so many inputs and control coupling. In order to describe this coupling effect to improve the accuracy of dynamics, an aero-propulsion coupling model is developed, considering both computation reliability and real-time. Afterward, a unique control framework is designed for the DVPUAV. By optimizing control logic, this control framework realizes the decoupling of longitudinal and lateral directional control and even the decoupling of roll and yaw control. Next, based on the Iterative linear quadratic regulator (ILQR), a new Model Predictive Control (MPC) controller with the ability to solve complex nonlinear problems is proposed which achieves the unification of the controller for the full flight envelope. Finally, the good performance of the control framework and controller is verified in the whole process of the flight simulation from take-off to landing.

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“…Besides, with the combing momentum law and Bernoulli equation, the approximate value of u e can be obtained, then incorporating Equation (27), w e is expressed as…”

Section: Model Of Rotor and Shroud Under Aero-propulsion Coupling Effectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Modeling and Control of a Distributed-Vector-Propulsion UAV with Aero-Propulsion Coupling Effect

Xia,

Zhou

2024

Aerospace

View full text Add to dashboard Cite

show abstract

Automatic landing trajectory control of aircraft based on Iterative-LQR algorithm

Cited by 1 publication

References 8 publications

The Modeling and Control of a Distributed-Vector-Propulsion UAV with Aero-Propulsion Coupling Effect

The Modeling and Control of a Distributed-Vector-Propulsion UAV with Aero-Propulsion Coupling Effect

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