Sliding Mode Control Simulink Simulation

Resource Overview

Simulink-based simulation of sliding mode control systems with implementation guidelines and performance analysis

Detailed Documentation

Sliding Mode Control (SMC) represents a robust control methodology widely employed in various engineering applications. The core principle involves defining a sliding surface that governs system behavior to track desired trajectories with inherent disturbance rejection capabilities. Simulink serves as a powerful MATLAB-based platform for dynamic system modeling, simulation, and analysis. Integrating these concepts enables engineers to simulate SMC performance through visual block diagram implementations. This document examines Simulink-based SMC simulations, demonstrating how to enhance control system robustness through proper sliding surface design and switching control logic. We provide a comprehensive step-by-step implementation guide covering: Simulink model configuration using gain blocks, integrators, and saturation elements; SMC algorithm implementation through mathematical operations blocks representing switching functions and boundary layers; simulation parameter tuning for chattering reduction; and result analysis techniques including scope visualization and stability verification. The guide incorporates practical considerations for implementing reaching law algorithms and explains how to use MATLAB Function blocks for custom SMC logic development.