
Learn the fast terminal sliding mode controller technique, combining linear and terminal sliding surfaces to guarantee finite-time convergence to equilibrium even when initial states are far away.
Explain integral sliding mode control, enforcing sliding motion with no reaching phase and invariance to uncertainties. Show Matlab example using x'' = -x' + b u and an integral surface.
Explore the Matlab implementation of the super twisting algorithm for robust control design, using the sliding surface to stabilize a two-state system with a disturbance.
Design and run a Simulink diagram for a dc motor, save system, and analyze results with blue step input, yellow output, sliding surface, and omega dot, settling under three seconds.
In this course, you will learn basics of Robust control systems starting from modeling of the system to the controller design of the same for specific application. You will learn to create the system and design it’s robust controller (SMC/) on MATLAB/SIMULINK Environment. The course will teach you modelling of various systems and design different robust controllers for them. You will be able to learn the concepts of robust control, sliding mode control, and control. In this course, some advance sliding mode control approach is also explained with their MATLAB implementations that can be useful for research. In this course you will also learn to apply the optimization algorithms in robust control design.
Some Highlights
1. Well explained theoretical concepts.
2. Learn to apply Robust control scheme for different applications.
3. Learn different types of robust control schemes.
4. Learn MATLAB simulations of sliding mode controller, H2 and controller.
5. Total 8 modules with detailed practice content
What you’ll learn
· Robust Control System Basics
· Concept of uncertainty.
· Concept of sliding mode control.
· SMC Controller Design and Simulation
· Terminal and fast terminal SMC Design and Simulation
· Integral SMC Design
· Higher order SMC Design and simulation
· and controller with MATLAB implementation
synthesis controller design and simulation.