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🔰Linear Control Training Workshop - Session 4
🔵In this MATLAB tutorial video, we dive into the powerful control systems analysis and design capabilities of MATLAB. Learn how to create and interpret root locus plots to analyze system stability and transient response characteristics. We then explore various control system compensation techniques, including lead, lag, and lag-lead compensation, and how to design compensators using the root locus approach.
🔸Generating root locus plots with MATLAB
🔹Effects of poles and zeros on root locus shape
🔸Finding gain values at points on the root locus
🔹Plotting root loci with damping ratio and natural frequency lines
🔸Lead compensator design
🔹Lag compensator design
🔸Lag-lead compensator design
🔹Analyzing compensated vs. uncompensated system responses
🔸Parallel compensation and velocity feedback
🆔Channel: @MATLAB_House
🆔Group:@MATLABHOUSE
#MATLAB #ControlSystems #RootLocus #SystemStability #LeadCompensation #LagCompensation #LagLeadCompensation #ControlSystemDesign
🔵In this MATLAB tutorial video, we dive into the powerful control systems analysis and design capabilities of MATLAB. Learn how to create and interpret root locus plots to analyze system stability and transient response characteristics. We then explore various control system compensation techniques, including lead, lag, and lag-lead compensation, and how to design compensators using the root locus approach.
🔸Generating root locus plots with MATLAB
🔹Effects of poles and zeros on root locus shape
🔸Finding gain values at points on the root locus
🔹Plotting root loci with damping ratio and natural frequency lines
🔸Lead compensator design
🔹Lag compensator design
🔸Lag-lead compensator design
🔹Analyzing compensated vs. uncompensated system responses
🔸Parallel compensation and velocity feedback
🆔Channel: @MATLAB_House
🆔Group:@MATLABHOUSE
#MATLAB #ControlSystems #RootLocus #SystemStability #LeadCompensation #LagCompensation #LagLeadCompensation #ControlSystemDesign
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✳️ Guidance, Navigation and Control System Design - Matlab / Simulink / FlightGear Tutorial
🔰 In this video, you will learn how to build a complete guidance, navigation, and control (GNC) system for a rocket/missile that starts from a random position and reaches a specified target using LQR/LQG and Kalman filtering methods for control and estimation. You will learn:
1) How to calculate azimuth, latitude, and longitude
2) Calculate guidance commands, range, miss distance, and elevation
3) Design a Linear Quadratic Regulator/Gaussian (LQR) for a 2D state-space model
4) Build a 3-DOF Simulation using the Aerospace Blockset in Simulink
5) Perform simulation with FlightGear
Produced by Hossein Mostafavi with consulting by Naser Pakar.
🔹Telegram:
🆔 @MATLAB_House
@MATLABHOUSE
#GNC #GuidanceSystem #NavigationAndControl #RocketSimulation #Matlab #Simulink #FlightGear #LQRControl #KalmanFilter #AerospaceEngineering #MissileSimulation #ControlSystemDesign #3DOF
🔰 In this video, you will learn how to build a complete guidance, navigation, and control (GNC) system for a rocket/missile that starts from a random position and reaches a specified target using LQR/LQG and Kalman filtering methods for control and estimation. You will learn:
1) How to calculate azimuth, latitude, and longitude
2) Calculate guidance commands, range, miss distance, and elevation
3) Design a Linear Quadratic Regulator/Gaussian (LQR) for a 2D state-space model
4) Build a 3-DOF Simulation using the Aerospace Blockset in Simulink
5) Perform simulation with FlightGear
Produced by Hossein Mostafavi with consulting by Naser Pakar.
🔹Telegram:
🆔 @MATLAB_House
@MATLABHOUSE
#GNC #GuidanceSystem #NavigationAndControl #RocketSimulation #Matlab #Simulink #FlightGear #LQRControl #KalmanFilter #AerospaceEngineering #MissileSimulation #ControlSystemDesign #3DOF
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