Rotor-State Feedback Control to Alleviate Pilot Workload for Helicopter Shipboard Operations

Ji, Honglei; Chen, Renliang; Li, Pan

doi:10.2514/1.g002304

Cited by 14 publications

(7 citation statements)

References 23 publications

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“…Thus, the lowaltitude atmospheric turbulence field is formed. The turbulence components at each aerodynamic surface were calculated The flight dynamics model used in this paper is a generic UH-60A helicopter as described by Ji et al [24]. The model is formulated with both rigid body dynamics and high-order main rotor dynamics.…”

Section: Fig 3 Distributed Turbulence Model [10]mentioning

confidence: 99%

“…A metric for HQs evaluation, referred as the Handling-Quality Sensitivity Function (HQSF) [16], was calculated from the simulated proprioceptive signals, and thus the HQs could be evaluated for the specific MTEs [17]. Other pilot models have also been developed as well, such as the precision model [24] and optimal control model [25], to simulate a pilot's control behavior for rotorcraft maneuvering flight in a turbulent atmospheric environment. The guidance function is mainly concerned with the avoidance of obstacles [12].…”

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confidence: 99%

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Advanced pilot modeling for prediction of rotorcraft handling qualities in turbulent wind

White

et al. 2022

Aerospace Science and Technology

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Section: Fig 3 Distributed Turbulence Model [10]mentioning

confidence: 99%

mentioning

confidence: 99%

Advanced pilot modeling for prediction of rotorcraft handling qualities in turbulent wind

White

et al. 2022

Aerospace Science and Technology

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“…A generic UH-60A rotorcraft model [18][19][20] is used for investigation in this paper. The model is formulated with both rigid body dynamics and high-order main rotor dynamics.…”

Section: Flight Dynamics Modelmentioning

confidence: 99%

“…A generic UH-60A rotorcraft model [18][19][20] is used for investigation in this paper The model is formulated with both rigid body dynamics and high-order main rotor dy namics. A three-state dynamic inflow model is used to simulate the main rotor inflow dynamics.…”

Section: Flight Dynamics Modelmentioning

confidence: 99%

Moving Spatial Turbulence Model for High-Fidelity Rotorcraft Maneuvering Simulation

Chen

2022

Mathematics

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A moving spatial turbulence model is developed for rotorcraft maneuvering simulation under different flight conditions. The recursive algorithms are adopted to model its distributed longitudinal turbulence components, which are correlated with the lateral and vertical axes to form a local spatial turbulence field. The flow field is constrained around the rotorcraft by following its movement, and the corresponding turbulence components are updated at a constant spatial interval. The statistical properties along the longitudinal, lateral, and vertical directions have been validated against the von Kármán theory. A synthetic simulation environment consisting of a flight dynamics model and a pilot model is constructed to demonstrate the effectiveness of the turbulence model. Its performance is validated by comparing the power spectral densities of both rotorcraft responses and pilot controls in turbulence against flight test data. The piloted simulation results on an Approach-to-Hovering task show that the handling qualities ratings are susceptive to the level of turbulence and significantly increase when performing aggressive controls. The simulation also accurately predicts the expected effect of varied aircraft speed, wind speed, turbulence intensity, and stability augmentation system on piloted handling qualities rating for rotorcraft flight in turbulence.

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“…Additionally, specific angles of reaching the ideal landing point are regulated for the helicopter to avoid a collision with other returning fixed-wing aircraft and to reduce the influence of wind field. Those constraints increase the difficulties of searching a feasible landing path by men, and an automatic path planner for helicopters is imperative to ensure the efficiency and safety of the landing task on the carrier [7].…”

Section: Introductionmentioning

confidence: 99%

Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier

et al. 2018

Mathematics

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Helicopters are introduced on the aircraft carrier to perform the tasks which are beyond the capability of fixed-wing aircraft. Unlike fixed-wing aircraft, the landing path of helicopters is not regulated and can be determined autonomously, and the path planning problem for autonomous landing of helicopters on the carrier is studied in this paper. To solve the problem, the returning flight is divided into two phases, that is, approaching the carrier and landing on the flight deck. The feature of each phase is depicted, and the conceptual model is built on this basis to provide a general frame and idea of solving the problem. In the established mathematical model, the path planning problem is formulated into an optimization problem, and the constraints are classified by the characteristics of the helicopter and the task requirements. The goal is to reduce the terminal position error and the impact between the helicopter and the flight deck. To obtain a reasonable landing path, a multiphase path planning algorithm with the pigeon inspired optimization (MPPIO) algorithm is proposed to adapt to the changing environment. Three experiments under different situations, that is, static carrier, only horizontal motion of carrier considered, and 3D motion of carrier considered, are conducted. The results demonstrate that the helicopters can all reach the ideal landing point with the reasonable path in different situations. The small terminal error and relatively vertical motion between the helicopter and the carrier ensure a precise and safe landing.

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Rotor-State Feedback Control to Alleviate Pilot Workload for Helicopter Shipboard Operations

Cited by 14 publications

References 23 publications

Advanced pilot modeling for prediction of rotorcraft handling qualities in turbulent wind

Advanced pilot modeling for prediction of rotorcraft handling qualities in turbulent wind

Moving Spatial Turbulence Model for High-Fidelity Rotorcraft Maneuvering Simulation

Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier

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