Explore MATLAB source code curated for "PID" with clean implementations, documentation, and examples.
Simulation example of PID grid connection control for doubly-fed induction wind turbines, applicable for practical engineering algorithms and research studies. This model demonstrates real-time control implementation with parameter tuning capabilities.
Using Ziegler-Nichols tuning formulas to calculate P, PI, and PID parameters, where Gc represents the compensator transfer function, kp is the proportional gain, Ti is the integral time constant, and Td is the derivative time constant. The input parameter vars corresponds to the KT τ parameters of a first-order plus dead-time (FOPDT) model, allowing for systematic controller parameter calculation through standardized tuning rules.
Implementation of RBF neural network-based PID tuning using S-functions in Simulink, providing practical control system optimization approach with detailed code-level insights
Simulink-Based Simulation of PID and Predictive Controller Design with Implementation Details
A complete MATLAB simulation example for PID control that is ready to use, including M-file implementations and SIMULINK models with detailed parameter tuning and performance analysis capabilities.
Simulation algorithm for fuzzy and PID control implemented in Simulink, featuring comparative analysis of fuzzy control and PID control methodologies with modular implementation approach.
Decoupling Control of Multi-Input Multi-Output Systems via PID Neural Networks with Implementation Insights
PID BLDC Motor Controller featuring straightforward integration and superior control capabilities, ideal for various motion control applications
Simulation of CAMC and PID parallel control implemented using SIMULINK, demonstrating enhanced system response and stability through combined algorithm integration
Online PID tuning leveraging neural networks' self-correction and self-learning functions