GN&amp;C Technology Innovations for TAEM: USV DTFT2 Mission Results

Corraro, Federico; Morani, Gianfranco; Nebula, Francesco; Cuciniello, Giovanni; Palumbo, Roberto

doi:10.2514/6.2011-2262

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…Indeed, significant efforts were carried out into the development of a guidance system able to increase vehicle flight adaptivity and robustness toward flight-safety requirements. That was accomplished by implementation of online trajectory generation with adaptive guidance, fault-tolerant architectures and algorithms, advanced sensor fusion techniques (virtual sensors), and robust/ adaptive flight-control algorithms [4].…”

Section: B Design Approach/concept Trade-offmentioning

confidence: 99%

Design, Development, Testing, and In-Flight Qualification of a Parachute Recovery System

Guidotti

Richiello

Matteis

et al. 2012

Journal of Spacecraft and Rockets

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Development of aerodynamic decelerators for aerospace applications is rather a complex and challenging endeavor, and it is even more so when it has to be conceived for winged systems to be recovered off their flight in supersonic conditions. In the case of the Centro Italiano Ricerche Aerospaziali unmanned space vehicle Polluce, a somewhat revolutionary approach was adopted for acquisition of the parachute recovery system, based upon adoption of a terminal area energy management strategy and the use of a completely commercial off-the-shelf onestage-only parachute system used in general aviation aircraft. The development process actually required implementation of a great engineering effort to customize the activation system, which in general aviation aircraft is usually performed only by the pilot in case of emergency. The parachute recovery system of Polluce was successfully used during drop transonic flight test #2, ensuring a safe mission termination and the vehicle recovery after sea splashdown.

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Section: B Design Approach/concept Trade-offmentioning

confidence: 99%

Design, Development, Testing, and In-Flight Qualification of a Parachute Recovery System

Guidotti

Richiello

Matteis

et al. 2012

Journal of Spacecraft and Rockets

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“…In 2011, the space shuttle "Atlantis" completed the final flight. Following the space shuttle, the United States' X-37B utilized terminal-area energy management techniques and successfully completed multiple landing missions at the Vandenberg Air Force Base in California and Kennedy Space Center [3,4].…”

Section: Introductionmentioning

confidence: 99%

An Online Generation Method of Terminal-Area Trajectories for Wave-Rider Using Deep Neural Networks

Liu

Yan

et al. 2023

Aerospace

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This paper presents a deep neural network-based online trajectory generation method for the aerodynamic characteristic description and terminal-area energy management of wave-rider aircrafts. First, the flight dynamics equations in the energy domain are linearized and discretized to generate numerous aircraft trajectory samples with sequential convex optimization (SCO) methods. Then, an optimization objective function is designed to promote the smoothness of the control variables and improve the trajectory similarity. Compared to the nonlinear programming (NLP), the proposed trajectory sample generation method is more suitable for the training of deep neural networks (DNNs). Finally, deep neural networks are formulated and trained for the control variables and state variables, using the generated obtained trajectory samples, so that the reference trajectories can be obtained online during the energy management process of the wave-rider’s terminal phase. Numerical simulations validate the high accuracy of the trajectories generated with the deep neural network. Meanwhile, this proposed method enables smaller storage usage, which is highly suitable for integration into on-board flight control systems.

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“…In the automatic landing phase, RLV is very close to the ground, and the adjustable range and remaining time of the trajectory are very limited [ 12 , 13 ]. Therefore, TAEM is the most important phase for the return landing mission [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

CACLA-Based Trajectory Tracking Guidance for RLV in Terminal Area Energy Management Phase

Lan

Tan

Zou

et al. 2021

Sensors

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This paper focuses on the trajectory tracking guidance problem for the Terminal Area Energy Management (TAEM) phase of the Reusable Launch Vehicle (RLV). Considering the continuous state and action space of this guidance problem, the Continuous Actor–Critic Learning Automata (CACLA) is applied to construct the guidance strategy of RLV. Two three-layer neuron networks are used to model the critic and actor of CACLA, respectively. The weight vectors of the critic are updated by the model-free Temporal Difference (TD) learning algorithm, which is improved by eligibility trace and momentum factor. The weight vectors of the actor are updated based on the sign of TD error, and a Gauss exploration is carried out in the actor. Finally, a Monte Carlo simulation and a comparison simulation are performed to show the effectiveness of the CACLA-based guidance strategy.

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GN&C Technology Innovations for TAEM: USV DTFT2 Mission Results

Cited by 6 publications

References 12 publications

Design, Development, Testing, and In-Flight Qualification of a Parachute Recovery System

Design, Development, Testing, and In-Flight Qualification of a Parachute Recovery System

An Online Generation Method of Terminal-Area Trajectories for Wave-Rider Using Deep Neural Networks

CACLA-Based Trajectory Tracking Guidance for RLV in Terminal Area Energy Management Phase

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