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Innovations in TVC Autopilot Systems: Lessons in Control Theory

Collaborative work on designing stable control systems using proven control theory based on Lyapunov stability. Insights on switching between attitude and position control for improved performance. Simulation results and future directions in developing guidance system logic and Monte Carlo simulations. References included for further study.

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Innovations in TVC Autopilot Systems: Lessons in Control Theory

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  1. Michael WalkerFebruary 14, 2008Dynamics and ControlGroup ContactTVC Autopilot and Guidance System Work done in collaboration with: Adam Waite AAE 450 Spring 2008 Dynamics and Control

  2. TVC Guidance and Autopilot Control Lessons from last week: Designing a new stable control method is far from trivial. Solution: Find and implement a proven control theory Method Chosen: Control theory based on paper by Yeh, Chang and Fu,1 Stability of system based on Lyapunov stability.1 Basics of Controller: 2 Systems: Autopilot (Attitude Control) and Guidance (Position Control) Drawback: For both systems to run in Parallel two control devices needed. (Currently we only model 1: TVC) Solution: Logic to switch between attitude and position control based on position error AAE 450 Spring 2008 Dynamics and Control

  3. 100 80 60 40 Simulated Desired 20 Steer Angle (deg) 0 -20 -40 -60 -80 -100 0 50 100 150 time (s) Results from Attitude Control Simulation Future Work Figure 1: Simulated and Optimal Steer Angles by Mike Walker and Adam Waite • Develop Logic for interplay between Guidance System and Autopilot • Monte Carlo Simulations AAE 450 Spring 2008 Dynamics and Control

  4. References 1.) Fu-Kuang Yeh, Kai-Yuan Cheng, and Li-Chen Fu “Rocket Controller Design With TVC and DCS” National Taiwan University, Taipei, Taiwan 2003 AAE 450 Spring 2008 Dynamics and Control

  5. AAE 450 Spring 2008 Dynamics and Control

  6. Autopilot System AAE 450 Spring 2008 Dynamics and Control

  7. Guidance System AAE 450 Spring 2008 Dynamics and Control

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