MECH 6091 Flight Control Systems Final Course Project

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MECH 6091 Flight Control Systems Final Course Project F-16 Autopilot Design Lizeth Buendia Rodrigo Lezama Daniel Delgado December 16, 2011 1

AGENDA Theoretical Background F-16 Model and Linearization Controller Design Results and Conclusions Q&A 2

Theoretical Background Reference Frames 3

Theoretical Background Aircraft Variables Assumptions: 1. The aircraft is a rigid-body. 2. The earth is flat and non-rotating. 3. The mass is constant during the time interval over which the motion is considered. 4. The mass distribution is symmetric relative to the longitudinal plane. 4

Theoretical Background Equations of Motions EOM Force: Moment: 5

Theoretical Background Stability Requirements Longitudinal EOM < 0 6

Theoretical Background Linearized Longitudinal EOM 7

F-16 Nonlinear Model F-16 Russell Model: 12 State Variables 4 Input Variables F-16 Longitudinal Linear Model: 5 State Variables 1 Input Variables MATLAB linmod command used for linearization Low-Fidelity model 8

Longitudinal EOM in State Space Form 9

Control Input Limits 10

15k ft @ 600 ft/s 5 deg Elevator Disturbance Pitch rate Nonlinear vs. Linear Model Nonlinear Model Linear Model 11

Controller Design FLIGHT QUALITY REQUIREMENTS MIL-F-8785C Flight Category B Cruise Level 1 Clearly adequate for mission flight phase Parameter Current MIL Target Desired SP ζ 0.464 [0.3, 2] 0.7 SP ω n 1.63 rad/s [1.1, 7] rad/s 3 rad/s SP τ 1.32 s -- P ζ 0.057 > 0.04 0.3 P ω n 0.066 NA 0.5 rad/s P τ 262 s -- 7s (t s 30s) 12

Controller Design SAS Full-Feedback State (All states are available) Pole Placement Method Necessary and Sufficient Condition for Arbitrary Pole Placement 13

25k ft @ 700 ft/s 1 deg Elevator Disturbance Controller Design SAS 14

Controller Design SAS Stability improvement achieved Excellent disturbance rejection New characteristics: Parameter Desired Achieved SP ζ 0.7 0.7 SP ω n 3 rad/s 3 rad/s P ζ 0.3 0.287 P ω n 0.5 rad/s 0.522 P τ 7s (t s 30s) 6.67 s 15

Controller Design Autopilot Altitude Reference Trajectory o Up to 5k ft increase/decrease tracking Augmented A/C TF Desired Response Characteristics: osettling time < 30s oovershoot <= 5% osteady-state error = 0 ominimize oscillations 16

Controller Design Autopilot PID Controller Design SISO tool + Manual Tuning Attention to Actuator Saturation! Anti-Windup included 17

1k ft increase @ 700 ft/s No Elevator Disturbance Controller Design Autopilot 18

5k ft increase @ 700 ft/s No Elevator Disturbance Controller Design Autopilot 19

5k ft increase @ 700 ft/s No Elevator Disturbance Controller Design Autopilot 20

Controller Design SAS + Autopilot Scenario: 1. 1000 ft altitude increase, followed by 2. +5deg perturbation, followed by 3. -5deg perturbation 21

Scenario 1 Controller Design SAS + Autopilot 22

Scenario 1 Controller Design SAS + Autopilot 23

Controller Design Nonlinear Model Compare: Linearized Model + LTI Controller Nonlinear Model + LTI Controller 24

Scenario 1 Altitude Controller Design Nonlinear Model 25

Scenario 1 Theta Controller Design Nonlinear Model 26

Scenario 1 Pitch Rate Controller Design Nonlinear Model 27

Conclusions A good linearization method is extremely important FFS eases SAS design -> In real life, not all states are available (estimators required) Nonlinear model shows longitudinal/lateral coupling Satisfactory overall results Future work: Scheduled PID and Lateral Motion 28

Q&A 29