Neural Flight Control Autopilot System. Qiuxia Liang Supervisor: dr. drs. Leon. J. M. Rothkrantz ir. Patrick. A. M. Ehlert

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1 Neural Flight Control Autopilot System Qiuxia Liang Supervisor: dr. drs. Leon. J. M. Rothkrantz ir. Patrick. A. M. Ehlert

2 Introduction System Design Implementation Testing and Improvements Conclusions 1

3 Introduction Intelligent Cockpit Environment Neural Flight Control Autopilot System Aviation Knowledge Neural Network Control Technique Neural Flight Control Autopilot System Project Goal Design a Neural Flight Control Autopilot System This system is able to control the airplane to take off, fly up and fly down Develop a prototype running in a computer simulated environment Investigate the ability of the Neural Flight Control System 2

4 Introduction 4 Forces and 3 Controls A Lift, B Thrust, C Weight, D - Drag Aviation Knowledge. Ailerons Control. Elevator Control. Rudder Control 3

5 Introduction Neural Network Control Classification Neural Network Control Technique Hybrid Mimic Expert Neural Network Control Direct Inverse Control Forward Modeling Inverse Control Neural Predictive Control Non-hybrid Control Signal Desired Output Signal Feedback Controller Signal Mimic Conventional Controller Indirect Learning Architecture Feedback error Learning 4

6 Introduction Topology Comparisons Conclusion Neural Network Control Technique Direct Inverse Control Vs. Forward Modeling and Inverse Control Neural Predictive Control Vs. Forward Modeling and Inverse Control Adopt Forward Modeling and Inverse Control Topology 5

7 Introduction Forward Modeling and Inverse Control Working Principle Neural Network Control Technique 6

8 Introduction Forward Modeling and Inverse Control Identifier Neural Network Control Technique Airplane System Input-Output Modeling Elevator Pitch Airspeed Throttle

9 System Design General System Scheme Modules Module Specification 7

10 System Design Modules Graphic User Interface Module Graphic User Graphic User Interface Interface Flight Planning Module Flight Flight Plan Plan Module Module Neural Neural Controller Controller Module Module Modules The Neural Network Controller Module 8

11 System Design Modules Specifications Interaction Relationship between Modules Modules Specifications 9

12 System Implementation Programming Environments Module Implementation Neural Controller Module Flight Planning Module Graphic User Interface Module 10

13 System Implementation Neural Controller Module Controller Module Programming Modules Testing Module Implementation 11

14 System Implementation Flight Planning Module Module s Programming Module s Testing Iteration Altitude* (.Feet) Module Implementation Pitch (Degree) Pitch Error (Degree) Throttle Error Elevator Error

15 System Implementation Graphic User Interface Module Module s Programming Module s Testing Module Implementation 13

16 System Testing and Improvement System Testing Test the functions provided by this system Evaluate the stability of control 14

17 System Testing and Improvement Problems and Improvements Taxiing Airplane shook a lot during the beginning phase of each flight procedure Airplane kept descending in a fast way during the default flying procedure Airplane changed its behavior dramatically when going from one flight procedure to another Flying Up Taxiing Flying Up Default Flying 15

18 System Testing and Improvement Problems and Improvements Airplane shook a lot during the beginning phase of each flight procedure Limit the controller s output range Airplane kept descending in a fast way during the default flying procedure Change the desired pitch value for the default flying procedure Airplane changed its behavior dramatically when going from one flight procedure to another Modify the reference table to make the desired pitch output increase or decrease to a desired value gradually 16

19 System Testing and Improvement Improvement Results Airplane shook a lot during the beginning phase of each flight procedure 17

20 System Testing and Improvement Improvement Results Airplane kept descending in a fast way during the default flying procedure Airplane changed its behavior dramatically when going from one flight procedure to another Taxiing Flying Up Default Flying 18

21 System Testing and Improvement Improvement Results Taking Off to 2000 feet Flying Up to 4000 feet Flying Down to 2500 feet 19

22 System Testing and Improvement Controller Stability Analysis a. The Normalized Elevator Input b. The Normalized Throttle Input c. The Pitch Output d. The Airspeed Output The control system is globally asymptotically stable 20

23 Conclusions Conclusions Successfully develop a Neural Flight Control Autopilot System to control the airplane to take off, fly up and fly down to achieve stable control to respond to the flight order immediately 21

24 Conclusions Conclusions The Advantages and Disadvantages of Neural Flight Control System a. The Normalized Elevator Input c. The Altitude Value b. The Pitch Value 22

25 Conclusions Conclusions The Advantages and Disadvantages of Neural Flight Control System 23

26 Future Works To control the airplane to make a turn To control the airplane to land To make the airplane fly more safely and smoothly 24

27 25 Neural Flight Control Autopilot System Demonstration

28 System Testing and Improvement Reference Table Flight Procedure Flight Procedure Taxiing Flying Up Flying Down Default Flying Pitch Value as current 11 Degree -3 Degree 0 Degree Pitch Value Desired Output Desired Output Airspeed Value 55 Knots as current 100 Knots as current Airspeed Value Taxiing as current 55 Knots Flying Up 11 Degree as current Flying Down Default Flying From Current pitch value gradually go to -3 Degree From current pitch value gradually go to 3 Degree Reference table 100 Knots as current

29 System Design Flight Planning Module Flight Plans Reference Table Flight Procedure Taxiing Flying Up Flying Down Default Flying Explain Pitch Value as current 11 Degree -3 Degree 0 Degree Desired Output Airspeed Value 55 Knots as current 100 Knots as current

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