MECH 6091 Flight Control Systems Final Course Project

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

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

3 Theoretical Background Reference Frames 3

4 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

5 Theoretical Background Equations of Motions EOM Force: Moment: 5

6 Theoretical Background Stability Requirements Longitudinal EOM < 0 6

7 Theoretical Background Linearized Longitudinal EOM 7

8 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

9 Longitudinal EOM in State Space Form 9

10 Control Input Limits 10

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

12 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 [0.3, 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 > P ω n NA 0.5 rad/s P τ 262 s -- 7s (t s 30s) 12

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

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

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

16 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

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

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

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

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

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

22 Scenario 1 Controller Design SAS + Autopilot 22

23 Scenario 1 Controller Design SAS + Autopilot 23

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

25 Scenario 1 Altitude Controller Design Nonlinear Model 25

26 Scenario 1 Theta Controller Design Nonlinear Model 26

27 Scenario 1 Pitch Rate Controller Design Nonlinear Model 27

28 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

29 Q&A 29

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