Robust Control System Design and Simulation

Explore sliding mode control as a robust strategy that mitigates uncertainties from parameter perturbations and disturbances by driving system states to a sliding surface and keeping them there.

Design sliding surfaces for sliding mode control, covering higher order, integral, and terminal types, and optimize gains, including pid, while mastering reaching and sliding phases via invariance condition.

Demonstrates a simple sliding mode control example in MATLAB, deriving the equivalent control from the invariance condition and simulating x1, x2 to show convergence and discuss chattering.

Explore terminal sliding mode control, defined by a nonlinear sliding surface with fractional power in Matlab, to achieve finite time stabilization and enhanced transient performance.

Explore how terminal sliding surfaces drive trajectories to the equilibrium point via reaching and sliding modes under terminal sliding mode control, and why this approach reduces sensitivity to uncertainties.

Explore terminal sliding mode control for a second-order system using a fractional power gamma between 0 and 1 and a state-dependent sliding surface, with input u derived via invariance conditions.

Design and simulate a terminal sliding mode controller in MATLAB, implementing sliding surface and saturation for a two-state system with x1 and x2, updating via difference form and plotting results.

Explore fast terminal sliding mode control, a robust approach combining a linear sliding surface with terminal dynamics to achieve finite-time convergence, strong disturbance rejection, and fast, accurate tracking near equilibrium.

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.

Design a fast terminal sliding mode controller by combining linear and terminal sliding surfaces for non-linear systems, using gamma in p/q form between 0 and 1 to avoid singularities.

Implement FSMC design and simulation in MATLAB by defining the sliding surface, initializing states, applying saturated control, and visualizing fast sliding mode with linear and terminal sliding surfaces.

Explain the integral sliding mode controller as a robust control strategy, covering sliding surface, reaching phase, sliding phase, and a Matlab/Simulink implementation against uncertainties.

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.

Design and simulate an ISMC in Simulink for a second-order system with sliding surface and finite-time convergence, including system equations and initial state 0.2.

Explore higher order sliding mode control as a robust alternative to first order SMC, explain chattering, and demonstrate the super twisting algorithm with Matlab/Simulink examples that stabilize sliding surfaces.

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.

Learn to implement super twisting control in MATLAB script, including initializing states, building the sliding surface psi, computing disturbance and z, applying u, and updating x1, x2 with Euler integration.

presents sliding mode control design for a dc motor, defining the error as omega_r minus omega and formulating a sliding surface with u equals u_eq plus u_d, implemented in simulink.

Develop a sliding mode controller for a dc motor in Simulink, with state equations x1 dot = x2 and x2 dot = f(x1,x2)+u, and a sliding surface.

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.

Explore robust control design for an inverted pendulum using sliding mode control, deriving a linear sliding surface and invariance condition to compute the control effort for a Simulink model.

Learn to design and simulate a sliding mode controller for an inverted pendulum in MATLAB Simulink, including integrator setup and sliding surface design with lambda, f, and u.

we present a higher order sliding mode controller for an inverted pendulum, addressing chattering with the super twisting algorithm within a robust sliding mode framework.

Develop and simulate a second order sliding mode controller for an inverted pendulum in Simulink, implementing x1 and x2 dynamics, sliding surface, and fixed-step execution.