Evolution of Flight Vehicle System Identification A Review

Evolution of Flight Vehicle System Identification

A Review Paper by Dr Peter Hamel & Dr Ravindra Jategaonkar

1777 Maximum Likelihood 1795 Least Square 1912 General Statistical parameter Estimation 1941 Stochastic Parameter Estimation 1960 Kalman Filter 1965 Implementation of ML on Computer

Flight Mechanics is the branch of engineering that deals with motion of flight vehicle

Forces and moments on Flight Vehicle • Aerodynamics • Inertial • Gravitational • Propulsive

Today’s Challenge Determination of an Aerodynamic model of a high performance, highly augmented, from rapid, large amplitude maneuvers

Additional problems • Unknown Structure • High nonlinearity • Elastic modes • Unsteady Aerodynamics • Erroneous air data measurements

Techniques of determining aerodynamics coefficients • Analytical (semi-empirical, CFD, …) • Wind tunnel • Flight test

Estimation Techniques of the past • Longitudinal oscillation method • Pulse method of dynamic response testing • Time-vector method • Analog matching

Coordinated Approach • Instrumentation and filters • Flight test techniques • Analysis of flight data

Quad M

Optimal inputs

Data Analysis Methods • Equation Error Method • Output Error Method • Filter Error Method • Neural Network

Output Error Method

Filter Error Method

Neural Network

Milestone of advances to flight vehicle parameter estimation methods