| Revista: | Journal of the Brazilian Society of Mechanical Sciences |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000312014 |
| ISSN: | 0100-7386 |
| Autores: | Curvo, M1 |
| Instituciones: | 1Instituto de Aeronautica e Espaco, Centro Tecnico Aeroespacial, Sao Jose dos Campos, Sao Paulo. Brasil |
| Año: | 2000 |
| Volumen: | 22 |
| Número: | 2 |
| Paginación: | 133-148 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado |
| Resumen en inglés | Design of flight control laws, verification of performance predictions, and the implementation of flight simulations are tasks that require a mathematical model of the aircraft dynamics. The dynamical models are characterized by coefficients (aerodynamic derivatives) whose values must be determined from flight tests. This work outlines the use of the Extended Kalman Filter (EKF) in obtaining the aerodynamic derivatives of an aircraft. The EKF shows several advantages over the more traditional least-square method (LS). Among these the most important are: there are no restrictions on linearity or in the form which the parameters appears in the mathematical model describing the system, and it is not required that these parameters be time invariant. The EKF uses the statistical properties of the process and the observation noise, to produce estimates based on the mean square error of the estimates themselves. Differently, the LS minimizes a cost function based on the plant output behavior. Results for the estimation of some longitudinal aerodynamic derivatives from simulated data are presented |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería de control, Ingeniería de transportes, Aeronaves, Aerodinámica, Filtro de Kalman, Estimación, Parámetros, Simulación |
| Keyword: | Engineering, Control engineering, Transportation engineering, Aircrafts, Aerodynamics, Kalman filter, Estimation, Parameters, Simulation |
| Texto completo: | Texto completo (Ver HTML) |
