Explore MATLAB source code curated for "PID" with clean implementations, documentation, and examples.
Simulation of PID control for BUCK converters with parameter tuning, enabling deeper understanding of PID principles. Learn to use MATLAB for building power electronics simulation circuit models, including implementation approaches for control algorithms and system modeling.
Fuzzy PID simulation requires first running the fuzzy inference system design program a.m to load it into memory, followed by executing the fuzzy control program b.m for PID parameter tuning. This process involves designing membership functions and rule bases for intelligent parameter adjustment.
Simulation of helicopter experiments using PID and LQR control algorithms, suitable for learning exercises with code implementation examples and algorithm comparisons
Implementation of PSO-optimized PID controller design using Simulink environment, where PID_Model represents the control system model, PSO module handles particle swarm optimization algorithms, and PSO_PID implements the parameter optimization process for PID controllers through iterative swarm intelligence techniques.
Fuzzy Auto PID Tuning for DC Motor - The fuzzy logic system requires two inputs: error e(t) and error derivative de(t), and generates three outputs for dynamically adjusting PID controller gains (KP, KI, KD) based on membership functions and rule-based inference
Implementation of neural network-based PID control algorithm for inverted pendulum system with code structure and training methodology
Development of a PID-controlled refrigerator temperature regulation system with hardware/software integration and performance optimization
A comprehensive PID control simulation platform for unmanned aerial vehicles featuring algorithm testing and parameter optimization capabilities.
Implementation of Fuzzy Adaptive Proportional-Integral-Derivative Control with Intelligent Parameter Tuning