Tracking flight control of UAV based on multiple regions pole assignment method

Xiong, Shixun; Chen, Mengting; Wei, Ziqiang

doi:10.1016/j.ast.2022.107848

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…In a study [15], both H 2 /H ∞ and guaranteed cost control method with pole placement constraints in a LMI region were considered and their performance were compared in simulations in terms of the attitude accuracy of a satellite orbiting around the Earth. In [16], another pole assignment method was introduced that extends a single LMI region to multiple LMI regions to control an unmanned aerial vehicle over a wide range of flight conditions. In some research, PID controller was utilized together with regional pole placement.…”

Section: Introductionmentioning

confidence: 99%

State Dependent Regional Pole Assignment Controller Design for a 3-DOF Helicopter Model

Arıcan

Copur

Tsourdos

et al. 2023

2023 International Conference on Unmanned Aircraft Systems (ICUAS)

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The proposed method produces a state feedback law to assign all closed-loop poles of nonlinear systems in a specified disk. For linear systems, a state feedback control law can be easily designed to keep all closed-loop poles inside a specified disk since the locations of the poles are unique. However, its application to nonlinear systems is not so simple since the locations of the closed loop poles change due to the state varying or uncertain dynamics of the nonlinear systems. Therefore, this paper introduces a new pole placement method, named as State Dependent Regional Pole Assignment, for nonlinear systems. This proposed method produces a state dependent feedback control law, enabling the closed-loop system poles to be placed in a specified disk to achieve the desired control performance characteristics. The effectiveness of the method is tested on the 3 DOF Helicopter experimental setup. To verify its effectiveness, the experimental results of the nonlinear method are compared with those of the linear method.

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Section: Introductionmentioning

confidence: 99%

State Dependent Regional Pole Assignment Controller Design for a 3-DOF Helicopter Model

Arıcan

Copur

Tsourdos

et al. 2023

2023 International Conference on Unmanned Aircraft Systems (ICUAS)

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“…The rEA can be not only used for some hypothetical systems but also real systems. In a previous study [19], an alternative rEA approach was developed for the flight control design to offer a solution of the tracking problem of an unmanned aerial vehicle. In this approach, the eigenvalues can be placed in multiple regions instead of a single specific region to improve the tracking performance and provide more design flexibility than the traditional approach.…”

Section: Introductionmentioning

confidence: 99%

An Extension Algorithm of Regional Eigenvalue Assignment Controller Design for Nonlinear Systems

Arıcan,

Çopur,

Inalhan

et al. 2023

Aerospace

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This paper provides a new method to nonlinear control theory, which is developed from the eigenvalue assignment method. The main purpose of this method is to locate the pointwise eigenvalues of the linear-like structure built by freezing the nonlinear systems at a given time instant in a desired disk region. Since the control requirements for the transient response characteristics are the major constraints on the selection of the disk centre and radius, two different update algorithms are also developed to reshape the disk region by changing the disk centre and radius at each time step. The effectiveness of the proposed methods is tested in both simulations and experiments. A validated three-DOF laboratory helicopter is used for experiments.

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Inverse compensation mechanism-based adaptive fuzzy-neural fault-tolerant control for an uncertain quadrotor UAV

Ren,

Sun

2024

Aerospace Science and Technology

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Tracking flight control of UAV based on multiple regions pole assignment method

Cited by 5 publications

References 25 publications

State Dependent Regional Pole Assignment Controller Design for a 3-DOF Helicopter Model

State Dependent Regional Pole Assignment Controller Design for a 3-DOF Helicopter Model

An Extension Algorithm of Regional Eigenvalue Assignment Controller Design for Nonlinear Systems

Inverse compensation mechanism-based adaptive fuzzy-neural fault-tolerant control for an uncertain quadrotor UAV

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