Uploaded May 2019 | Updated September 2026, 9 hours ago
#MATLAB #Simulink #AerospaceEngineering
My Software Engineering Project (Motion Planning Visualizer - free access): vinayak-d.github.io/MotionPlanningVisualizer
Free Udemy Course (Motion Planning): udemy.com/course/an-introduction-to-sampling-based-motion-planning-algorithms
Source Links / References:
Paper on Flight Control for Launch Vehicles: ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20090001165.pdf
Blog Post: rocketsim.wordpress.com/2017/04/12/pitch-analysis-of-rigid-body-rocket-part-2-controllers
LQR Control: https://www.cds.caltech.edu/~murray/courses/cds110/wi06/lqr.pdf
My video explaining how to connect Matlab to FlightGear: youtube.com/watch?v=jB-80cvV1Ao&t
Are you interested in building a (thrust vectoring) control system using MATLAB & Simulink for aerospace vehicles?
This video covers the entire process of developing a LQR based control system for launch vehicles during their ascent phase. This is a realistic industry perspective and design problem for control systems engineers. This tutorial video covers the following topics:
1) LQR Control Basics
2) Using variables defined in the Matlab workspace within Simulink
3) Feedback control
4) Matlab loops and scripts
5) Nonlinear Simulations with FlightGear / Aerospace Blockset
6) Simulink Subsystems and Control Theory
(Matlab code is not uploaded for this specific video as it is NOT my original code).
Timestamps:
Importance and Basics of Flight Control: 00:26
Matlab Code 1: 02:15
LQR Control Basics: 04:15
Matlab Code 2: 05:00
Simulink Model: 09:00
Conclusion/ About Me: 15:20
Be sure to subscribe to my channel for more videos on MATLAB, Simulink and FlightGear, and the Aerospace Blockset. I also cover content on fluid mechanics and rocket propulsion.
Thanks for watching!
~~My Udemy Courses on Motion Planning / Navigation / Trajectory Planning:
udemy.com/course/autonomous-robots-nonholonomic-motion-planning-algorithms
Buy Coffee: buymeacoffee.com/vdengineering
My Instagram: instagram.com/vinayak_desh
My Website: vinayakd.com
#MATLAB #Simulink #AerospaceEngineering
My Software Engineering Project (Motion Planning Visualizer - free access): vinayak-d.github.io/MotionPlanningVisualizer
Free Udemy Course (Motion Planning): udemy.com/course/an-introduction-to-sampling-based-motion-planning-algorithms
Source Links / References:
Paper on Flight Control for Launch Vehicles: ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20090001165.pdf
Blog Post: rocketsim.wordpress.com/2017/04/12/pitch-analysis-of-rigid-body-rocket-part-2-controllers
LQR Control: https://www.cds.caltech.edu/~murray/courses/cds110/wi06/lqr.pdf
My video explaining how to connect Matlab to FlightGear: youtube.com/watch?v=jB-80cvV1Ao&t
Are you interested in building a (thrust vectoring) control system using MATLAB & Simulink for aerospace vehicles?
This video covers the entire process of developing a LQR based control system for launch vehicles during their ascent phase. This is a realistic industry perspective and design problem for control systems engineers. This tutorial video covers the following topics:
1) LQR Control Basics
2) Using variables defined in the Matlab workspace within Simulink
3) Feedback control
4) Matlab loops and scripts
5) Nonlinear Simulations with FlightGear / Aerospace Blockset
6) Simulink Subsystems and Control Theory
(Matlab code is not uploaded for this specific video as it is NOT my original code).
Timestamps:
Importance and Basics of Flight Control: 00:26
Matlab Code 1: 02:15
LQR Control Basics: 04:15
Matlab Code 2: 05:00
Simulink Model: 09:00
Conclusion/ About Me: 15:20
Be sure to subscribe to my channel for more videos on MATLAB, Simulink and FlightGear, and the Aerospace Blockset. I also cover content on fluid mechanics and rocket propulsion.
Thanks for watching!
~~My Udemy Courses on Motion Planning / Navigation / Trajectory Planning:
udemy.com/course/autonomous-robots-nonholonomic-motion-planning-algorithms
Buy Coffee: buymeacoffee.com/vdengineering
My Instagram: instagram.com/vinayak_desh
My Website: vinayakd.com










