Aplicaciones en el sector aeroespacial

"Working on the design of the Lunar Module digital autopilot was the highlight of my career as an engineer. When Neil Armstrong stepped off the LM (Lunar Module) onto the moon's surface, every engineer who contributed to the Apollo program felt a sense of pride and accomplishment. We had succeeded in our goal. We had developed technology that never existed before, and through hard work and meticulous attention to detail, we had created a system that worked flawlessly." -Richard J. Gran, The Apollo 11 Moon Landing: Spacecraft Design Then and Now

Use the Control System Toolbox™ and Simulink® Control Design™ to interact with Simulink to design a digital pitch control for the aircraft. In this example, we will design the controller to permit the aircraft to operate at a high angle of attack with minimal pilot workload.

En este ejemplo se muestra cómo modelizar el movimiento con seis grados de libertad en Simulink®. Puede alternar entre usar ángulos de Euler y cuaterniones para modelar las ecuaciones de movimiento, usando el menú contextual "Variant > Override using" del bloque Variant Subsystem.

Este ejemplo muestra cómo modelar el control de vuelo para el movimiento longitudinal de una aeronave. Las aproximaciones lineales de primer orden del comportamiento del actuador y la aeronave están conectados al diseño de un control de vuelo analógico que utiliza el comando de cabeceo con la palanca de mando del piloto como punto de referencia para la actitud de cabeceo de la aeronave y utiliza el ángulo de cabeceo y la velocidad de cabeceo para determinar los comandos. Se ha incorporado un modelo de ráfagas de viento de Dryden simplificado para perturbar el sistema.

Este ejemplo muestra cómo usar un filtro de Kalman extendido con el bloque MATLAB® Function en Simulink® para estimar la posición de una aeronave a partir de las mediciones de un radar. La implementación del filtro se encuentra en el bloque MATLAB Function, y sus contenidos están almacenados en el propio modelo de Simulink.

Generate a movie with 64 frames and a frame size of 64 by 64 pixels (at 10 frames per second). The movie contains a simulation of a moving target that is moving through a structured background that is itself moving. A jitter motion caused by random vibration is also generated (in a Simulink® model called "aero_vibrati") and the jitter motion is added into the overall sensor motion. Finally, the image is blurred through a Gaussian optical point spread function.

Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.

Use the model of the missile airframe presented in a number of published papers (References [1], [2] and [3]) on the use of advanced control methods applied to missile autopilot design. The model represents a tail controlled missile traveling between Mach 2 and Mach 4, at altitudes ranging between 10,000ft (3,050m) and 60,000ft (18,290m), and with typical angles of attack ranging between +/-20 degrees.

Trim and linearize an airframe using Simulink® Control Design™.