Real-time Flight Computation
Real-time Flight Computation - Related Videos
08:36
Real-time Flight Control: Embedded Sensor Calibration and Data Acquisition
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2023
Source: Ella M. Atkins, Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI Overview Autopilot allows aircraft to be stabilized using data collected from onboard sensors that measure the aircraft’s orientation, angular velocity, and airspeed. These quantities can be adjusted by the autopilot so that the aircraft automatically follows a flight plan from launch (takeoff) through recovery (landing). Similar sensor data is collected to control all types of aircraft, from...
07:42
A Simple Flight Mill for the Study of Tethered Flight in Insects
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Cited by 37 •
2015
Flight in insects is influenced by a number of factors and the propensity to disperse is an important variable in understanding insect ecology and biological control strategies. We describe the construction and use of a simple, relatively inexpensive, and flexible flight mill for measuring parameters of tethered flight in insects.
01:17
Time-of-Flight Magnetic Resonance Angiography to Visualize Blood Vasculature
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2025
Position the patient's head inside the radiofrequency, or RF, coil of a magnetic resonance imaging, or MRI, machine.Initiate the time-of-flight magnetic resonance angiography or TOF MRA, a non-invasive technique for visualizing blood vessels.Select a tissue slice for imaging to visualize arteries and veins.Apply an RF pulse to excite the protons within the selected imaging slice. These protons release energy, which is detected as an MR signal.Repeated application of RF pulses saturates the MR...
07:05
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
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Cited by 5 •
2017
The ability to induce and/or control neural plasticity may be critical in future treatments for neurologic disorders and the recovery from brain injury. In this paper, we present a protocol on the use of neurofeedback training with functional magnetic resonance imaging to modulate human brain function.
08:36
Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner
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Cited by 2 •
2024
Quantitative measurements of oxygen and glucose metabolism by PET are established technologies, but details of practical protocols are sparsely described in the literature. This paper presents a practical protocol successfully implemented on a state-of-the-art positron emission tomography-computed tomography scanner.
FAQs
Differential equations express how flight variables change over time, linking quantities such as position, velocity, and acceleration within a mathematical model. Numerical analysis then approximates the evolving solution at successive computational steps rather than solving the equations symbolically. The resulting estimates help update the vehicle state and support timely trajectory or control decisions as flight conditions change.
Coordinate transformations allow flight quantities to be represented in reference systems suited to a particular calculation. Position, velocity, and acceleration may need consistent mathematical descriptions before a model can combine them or compare them with environmental conditions. Proper transformation supports coherent state estimation, trajectory analysis, and control outputs, especially when the vehicle state is continuously updated.
Optimization helps select guidance or control decisions according to the mathematical objectives built into the flight model. It connects available state estimates with trajectory planning and control requirements, while operating under the constraint that results must arrive quickly. In this setting, a useful solution is not only mathematically appropriate but also available soon enough to affect the evolving flight state.
A computation cycle incorporates continuously updated quantities such as position, velocity, acceleration, and environmental conditions. Mathematical models use these inputs to estimate the current state and its ongoing motion, while numerical methods produce refreshed results. Those results can then inform navigation, trajectory planning, stability assessment, or control decisions before the vehicle state changes substantially.
The process begins with updated flight and environmental inputs, followed by state estimation through mathematical models and numerical methods. Coordinate transformations may place the quantities into compatible reference systems, after which trajectory or control calculations generate the next guidance output. Repeating this sequence allows estimates and decisions to track the changing conditions of aircraft or spacecraft flight.
This approach is useful when navigation, trajectory planning, stability, simulation, or autonomous operation depends on calculations produced during flight rather than afterward. It gives mathematics a practical setting for differential equations, numerical analysis, coordinate transformations, and optimization. Researchers can therefore examine how mathematical accuracy, computational speed, and changing flight states interact in operational models.