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Robust DC Motor Position Control using ESO & SMC in MATLAB Simulink

Robust DC Motor Position Control using ESO & SMC using MATLAB – MATLAB Simulation Video
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MATLAB R2020a - R2024b
Zero Convergence Errors
Simscape / SimPowerSystems
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Methodology

  • DC Motor Modeling
    A mathematical model of the DC motor is developed using electrical and mechanical equations to represent armature voltage, current, speed, and position dynamics in MATLAB/Simulink.

  • Extended State Observer (ESO) Design
    An ESO is implemented to estimate unmeasured states and lumped disturbances, including load torque variations and parameter uncertainties, in real time.

  • Sliding Mode Controller (SMC) Design
    A sliding surface is defined based on position error and its derivative. The SMC control law is designed to ensure robust tracking performance and disturbance rejection.

  • Controller Integration
    The ESO outputs are integrated with the SMC to compensate for disturbances, improving system robustness and reducing steady-state error.

  • Simulation and Validation
    The complete ESO–SMC controlled DC motor model is simulated in MATLAB/Simulink under different reference inputs and load disturbances to evaluate tracking accuracy, robustness, and stability.

Verified MATLAB Simulation Code Demonstration

Syntax-highlighted executable code demonstration for Robust DC Motor Position Control using ESO & SMC in MATLAB Simulink:

MATLAB control_system_design.m
% State-Space Control & Stability Analysis
clc; clear; close all;

% System Matrices
A = [0 1; -4 -5];
B = [0; 1];
C = [1 0];
D = 0;

sys_ss = ss(A, B, C, D);
Co = ctrb(A, B);

% Pole Placement Control
desired_poles = [-3 + 4i, -3 - 4i];
K = acker(A, B, desired_poles);

sys_cl = ss(A - B*K, B, C, D);
fprintf('State Feedback Controller Formulated Successfully!\n');
Robust DC Motor Position Control using ESO & SMC in MATLAB Simulink $95.00
$95.00