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Advanced Aircraft Control Systems with MATLAB/SIMULINK
Online
12 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Kanpur |
The Syllabus
- State space modelling,
- State transition matrix.
- Canonical transformations – significance of real distinct,
- Repeated and complex Eigen values, Examples
- Controllability and observability
- Designing state feedback controllers
- Method for finding feedback gains, Examples
- The State observer design
- Observer dynamics faster than closed loop dynamics
- Bass Gura formulation and Ackerman’s formula, SISO and MIMO systems. Examples
- Optimal state space control system design
- Longitudinal / lateral stability augmentation systems, autopilot design. Examples
- Optimal state space control system design
- Longitudinal / lateral stability augmentation systems, autopilot design. Examples. (Cont.)
- Basics of nonlinear control
- Lyapunov stability theory
- Criteria for local and global stability
- Feedback linearization technique. Input output linearization
- Backstepping Control
- Sliding mode control
- Backstepping sliding mode control
- Adaptive Control
- Adaptive integrator backstepping control. Examples
- Backstepping Control
- Sliding mode control
- Backstepping sliding mode control
- Adaptive Control
- Adaptive integrator backstepping control. Examples (Cont.)
- Basics of MATLAB/SIMULINK
- Simulation of linear systems
- Simulating spring mass damper system and pendulum system
- Implementing state-space models in Simulink
- Simulation of nonlinear controllers for general systems
- Simulating aircraft nonlinear 6 degree of freedom equations of motion in MATLAB / SIMULINK
- Simulating aircraft motion using state space model
- Simulation of nonlinear controllers for general systems
- Simulating aircraft nonlinear 6 degree of freedom equations of motion in MATLAB / SIMULINK
- Simulating aircraft motion using state space model. (Cont.)
- Integrating PID controller to the Simulink model
- Implementing nonlinear controllers such as sliding mode, backstepping to the aircraft model