Transition flight control of a cyclic tiltrotor UAV based on the Gain-Scheduling strategy

Hernandez-Garcia, Rogelio Gerardo; Rodriguez-Cortes, H.

doi:10.1109/icuas.2015.7152383

Cited by 24 publications

(9 citation statements)

References 8 publications

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“…The lift is constrained by the airspeed and the angle of attack of the aircraft, and the thrust is constrained by the nacelle angle and the maximum thrust provided by the rotor. Based on the above constraints, the tilting transition corridor is divided into a high-speed section and a low-speed section [12].…”

Section: Solution Of Tilting Transition Corridormentioning

confidence: 99%

Nonlinear modeling and transition corridor calculation of a tiltrotor without cyclic pitch

Yang

Wang

et al. 2022

MATEC Web Conf.

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In order to solve the problem of rotor airflow interference to the wing of tiltrotor UAV, the lift and drag in the slipstream area and the free flow area were calculated respectively according to the hydrodynamics theory and CFD simulation. The longitudinal nonlinear dynamics model of tiltrotor UAV is established by Newton-Euler method. In order to solve the problem that the lift and thrust are difficult to balance the body gravity in the transition flight mode, a method for calculating the transition corridor of a tiltrotor UAV without cyclic pitch is proposed. The boundary of the transition corridor is restricted by the Angle of attack of the wing and the thrust of the rotor. Considering the requirements of UAV cruise speed, flight safety and minimum energy consumption, the optimal transition curve is selected. The result show that the designed transition curve can ensure that the lift and the rotor thrust can balance the gravity completely and the Angle of attack is in a reasonable range, and the rotor force has enough margin of safety.

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Section: Solution Of Tilting Transition Corridormentioning

confidence: 99%

Nonlinear modeling and transition corridor calculation of a tiltrotor without cyclic pitch

Yang

Wang

et al. 2022

MATEC Web Conf.

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“…While many current control systems still rely heavily on the availability of precise mathematical models (e.g., Model-Predictive-Control (MPC) [10], linear quadratic Gaussian [11,12], backstepping [13], as well as gain scheduling [14]), this article evaluates extra versatile and intelligent approaches by emphasising the value of evolutionary computation to resolve the actual constraints of model-based control systems.…”

Section: State Of Art In Camentioning

confidence: 99%

“…While many current dynamic control systems still rely significantly on mathematical equations of the subsystems (e.g., gains scheduling [14] as well as feedback linearization strategies), these approaches may be excessively complex or unworkable in some cases. Gain scheduling control, for example, has been considered one of the most historically dominant adaptive control approaches, but it has a number of technical flaws.…”

Section: State Of Art In Camentioning

confidence: 99%

“…Gain Scheduling (GS) [10], for example, is a frequently used strategy that shows good capabilities in dealing with parametric variations and nonlinearities, but frequent and fast changes in the controller gains might make the system unstable [13]. Furthermore, as noted in [14], the cost of implementation rises with the frequency of functioning points. Robust control, on the other hand, is effective when dealing with constrained parametric uncertainties, but it has drawbacks when dealing with boundless ones or stochastic dynamics [17,18].…”

Section: State Of Art In Camentioning

confidence: 99%

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Robust Control Algorithm for Drones

Priya¹,

Kamlu²

2022

Aeronautics - New Advances

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Drones, also known as Crewless Aircrafts (CAs), are by far the most multi - level and multi developing technologies of the modern period. This technology has recently found various uses in the transportation area, spanning from traffic monitoring applicability to traffic engineering for overall traffic flow and efficiency improvements. Because of its non-linear characteristics and under-actuated design, the CA seems to be an excellent platform to control systems study. Following a brief overview of the system, the various evolutionary and robust control algorithms were examined, along with their benefits and drawbacks. In this chapter, a mathematical and theoretical model of a CA’s dynamics is derived, using Euler’s and Newton’s laws. The result is a linearized version of the model, from which a linear controller, the Linear Quadratic Regulator (LQR), is generated. Furthermore, the performance of these nonlinear control techniques is compared to that of the LQR. Feedback-linearization controller when implemented in the simulation for the chapter, the results for the same was better than any other algorithm when compared with. The suggested regulatory paradigm of the CA-based monitoring system and analysis study will be the subject of future research, with a particular emphasis on practical applications.

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“…The Jacobian linearization approach is considered for the operating points. A set of equilibrium points of VTOL conditions, hovering flight and horizontal flight each is considered (Hernandez-Garcia and Rodriguez-Cortes, 2015).…”

Section: Uav Flight Controller Design and Evaluationmentioning

confidence: 99%

Design, dynamic modelling and control of tilt-rotor UAVs: a review

Hegde¹,

George²,

Nayak³

et al. 2019

IJIUS

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Purpose The purpose of this paper is to give reviews on the platform modeling and design of a controller for autonomous vertical take-off and landing (VTOL) tilt rotor hybrid unmanned aerial vehicles (UAVs). Nowadays, UAVs have experienced remarkable progress and can be classified into two main types, i.e. fixed-wing UAVs and VTOL UAVs. The mathematical model of tilt rotor UAV is time variant, multivariable and non-linear in nature. Solving and understanding these plant models is very complex. Developing a control algorithm to improve the performance and stability of a UAV is a challenging task. Design/methodology/approach This paper gives a thorough description on modeling of VTOL tilt rotor UAV from first principle theory. The review of the design of both linear and non-linear control algorithms are explained in detail. The robust flight controller for the six degrees of freedom UAV has been designed using H-infinity optimization with loop shaping under external wind and aerodynamic disturbances. Findings This review will act as a basis for the future work on modeling and control of VTOL tilt rotor UAV by the researchers. The development of self-guided and fully autonomous UAVs would result in reducing the risk to human life. Civil applications include inspection of rescue teams, terrain, coasts, border patrol buildings, police and pipelines. The simulation results show that the controller achieves robust stability, good adaptability and robust performance. Originality/value The review articles on quadrotors/quadcopters, hybrid UAVs can be found in many literature, but there are comparatively a lesser amount of review articles on the detailed description of VTOL Tilt rotor UAV. In this paper modeling, platform design and control algorithms for the tilt rotor are presented. A robust H-infinity loop shaping controller in the presence of disturbances is designed for VTOL UAV.

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Transition flight control of a cyclic tiltrotor UAV based on the Gain-Scheduling strategy

Cited by 24 publications

References 8 publications

Nonlinear modeling and transition corridor calculation of a tiltrotor without cyclic pitch

Nonlinear modeling and transition corridor calculation of a tiltrotor without cyclic pitch

Robust Control Algorithm for Drones

Design, dynamic modelling and control of tilt-rotor UAVs: a review

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