Dynamics modeling and advanced metaheuristics based LQG controller design for a Quad Tilt Wing UAV

Benkhoud, Khaled; Bouallègue, Soufiene

doi:10.1007/s40435-017-0325-7

Cited by 23 publications

(17 citation statements)

References 35 publications

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“…The ultimate best among these best individuals is selected as the sea. The number N sr is therefore the summation of number of rivers (which is a user parameter) and a single sea defined as 47,48…”

Section: Control Statementmentioning

confidence: 99%

“…Raindrops are classified into rivers and sea according to the flow intensity which is defined as 46–48…”

Section: Control Statementmentioning

confidence: 99%

“…To increase the convergence rate of the algorithm, equation (43) is implemented to improve the exploration near sea in the feasible region for constrained problems. This expression is meant to encourage the generation of streams that directly flow into the sea 47,48…”

Section: Control Statementmentioning

confidence: 99%

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Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters

M’zoughi

Garrido

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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The stalling behavior is a feature of the Wells turbine that limits the generated output power of power plants using this turbine. The NEREIDA wave power plant installed in the harbor of Mutriku in the northern Spanish shoreline constitutes an excellent example of this phenomenon. This article deals with the modeling, simulation and control of an oscillating water column unit within the NEREIDA wave power plant. The stalling behavior is investigated and two control strategies are proposed to avoid it. The first control approach is the airflow control which aims to adjust the airflow in the turbine duct using a proportional–integral–derivative controller tuned with the water cycle algorithm. The second control approach is the rotational speed control adjusting the rotor speed using the rotor-side converter of the back-to-back converter which is wired to the doubly fed induction generator. Results of comparative studies show a power generation improvement even relative to the real measured data.

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Section: Control Statementmentioning

confidence: 99%

“…Raindrops are classified into rivers and sea according to the flow intensity which is defined as 46–48…”

Section: Control Statementmentioning

confidence: 99%

See 1 more Smart Citation

Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters

M’zoughi

Garrido

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…During the vertical take-off and landing phase, the rotor nacelle system tilts to vertical position and works like a helicopter, the attitude and position of Tilt-rotor are controlled by direct force of rotor system. During these phases, the airspeed is so small that it cannot generate stable aerodynamic forces, and the aerodynamic interference which caused by wind field will reduce the stability of the aircraft [9], [20]- [22]. In [9], the rotor-wing aerodynamic interaction of a scaled V-22 Osprey Tilt-rotor in the helicopter mode was studied by computational fluid dynamics (CFD) numerical simulation.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the influence of the wind field on the stability of the fuselage, the wind field could change the direction of incoming flow of propeller, which will interfere with the pull output of rotor propeller. A relative wind model was added to the aerodynamic modeling of propeller in [22], however, the researchers did not further study the effect of wind on Tilt-rotor control.…”

Section: Introductionmentioning

confidence: 99%

Wind Field Disturbance Analysis and Flight Control System Design for a Novel Tilt-Rotor UAV

Zhang

Wang

et al. 2020

IEEE Access

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The wind field has a great influence on the control stability of Tilt-rotor unmanned aerial vehicle (UAV), especially during the takeoff and landing phase. The airspeed of UAV is so small during these phases that it cannot generate stable aerodynamic forces, which will significantly reduce the wind robustness of Tilt-rotor UAV. In this paper, the disturbance of wind field is analyzed from two perspectives: the wind field acting on the UAV fuselage, which is regarded as external interference, and the wind acting on the propeller, which is considered as modeling error. After analyzing the interference mechanism of wind field, a generalized extended state observer (GESO) and a H robust control method with mixed sensitivity are proposed, which could empower the Tilt-rotor UAV with good interference suppression ability as well as better performance tracking ability. Finally, the laboratory simulation and flight experiment are studied. The results validate the theory and prove that the proposed method could resist the interference of wind field and shows excellent control effect. INDEX TERMS Tilt-rotor, unmanned aerial vehicle, wind field disturbance, generalized extended state observer, robust control.

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Metaheuristics and Swarm Methods: A Discussion on Their Performance and Applications

Cuevas

Fausto

González

2019

Intelligent Systems Reference Library

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Dynamics modeling and advanced metaheuristics based LQG controller design for a Quad Tilt Wing UAV

Cited by 23 publications

References 35 publications

Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters

Water cycle algorithm–based airflow control for oscillating water column–based wave energy converters

Wind Field Disturbance Analysis and Flight Control System Design for a Novel Tilt-Rotor UAV

Metaheuristics and Swarm Methods: A Discussion on Their Performance and Applications

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