Adaptive Fuzzy PID Control
Simulation files and fuzzy rules for adaptive fuzzy PID control implementation
PID Parameter Optimization Using Particle Swarm Optimization (PSO)
Implementation of PID Controller Tuning via Particle Swarm Optimization Algorithm with Performance Evaluation and Debugging Techniques
PID Control Resources and Implementation Guide
Comprehensive materials on PID control algorithms including implementation code examples and parameter tuning techniques
DC Motor PID Control Implementation Using MATLAB and Simulink
Implementation of DC motor control system using PID controller designed through MATLAB and Simulink, featuring mathematical modeling, parameter tuning, and simulation analysis.
Simulation Model of PID Control in Control Systems
This simulation model for PID control in control systems is developed using Simulink, designed to help students understand and apply PID control principles through visual implementation and parameter tuning.
Development of a Simple PID-Controlled Inverted Pendulum Model Using Simulink
Implementation of a basic inverted pendulum control system using PID controllers in Simulink, featuring position, velocity, and acceleration error compensation for stability analysis
MATLAB Control Simulation Implementation using PID and DMC
Implementation of PID and DMC control simulations in MATLAB with practical code examples and algorithm explanations
Simple PID Control Simulation in Simulink
Implementing Basic PID Control Using Simulink Blocks with Parameter Configuration Examples
Intelligent Control Implementation with MATLAB Code
Implementation of various intelligent control strategies including PID, expert-tuned PID, and fuzzy control systems with algorithmic insights.
PID Fuzzy Control for Straight-Line Motion of a Vehicle
PID fuzzy control for vehicle straight-line motion implemented in MATLAB, with trajectory plotting functionality upon execution