Matrix Diagonalization Suppose a is diagonizable with independent eigenvectors use similarity transformations to diagonalize dynamics matrix

State Space Basics State space models are of the form x()= Ax(t)+ Bult) y(t)= Cx(t)+ Dult) with associated transfer function G()=C(sI-A)

Aircraft Lateral dynamics Using a procedure similar to the longitudinal case, we can develop the equations of motion for the lateral dynamics

Altitude Controller In linearized form, we know from 1-5 that the change of altitude h can be written as the flight path angle times the velocity, so that

INERTIAL SENSoRS MoST, IF NoT ALL, INETIAL SEN SORS MEASURE RATES LINE4R R ANGULAR) 6R ACCELERATIONS WHILE THE RATE INFORMATION IS TYPLCALLY VALIO VER LONG PERIODS of TIME) IT MUST BE INTEGRATED To CET

USuALLY WE NOT KNOw THE \ACTUAL SYSTE\ So How WE ESTABLISH IF OUR MODEL Is Goo0? VARIOUS TPES OF TESTS CAN BE PERFORMEO PREDICTION ANO SIMULATIONJ ERRORS FRERUENCY RESPONSE FIT >MAKE SVRE YOU USE O1FFERENT 4TA To

SYSTEM TDENTIFICATION DEVELOPING AN APPR0 PR1ATE MOOEL OF A YWAMIC SYSTEM US(NG BSERVED DATA COMBINEO WITH: BASIC MECHANICS AND OYNAMICS PR1OR KNOWLEVGE oF RELATIONSKIPS BETWEEN SIGNALS INPUT/OUTPUT MOOELS

Course introduction Course learning objectives & measurable outcomes 21st Century Jet: The Building of the 777 – Interleaved video and discussion on aircraft systems engineering

Outline Lifecycle cost Operating cost Development cost Manufacturing cost Revenue Valuation techniques

Today’s Topics Specific fuel consumption and Breguet range equation Transonic aerodynamic considerations Aircraft Performance – Aircraft turning – Energy analysis – Operating envelope