Doubly-Fed Induction Generator Model in Alpha/Beta Coordinate System
This is a doubly-fed wind turbine generator model implemented using S-functions in the alpha/beta coordinate reference frame.
S-Function Modeling of Doubly-Fed Induction Generators for Wind Turbines
This MATLAB S-function implements a doubly-fed induction generator (DFIG) model specifically designed for wind power research. Unlike MATLAB's built-in DFIG model that combines generator, converter, and other components into a black-box system, this implementation uses S-functions to provide modular parameter customization for active and reactive power decoupling analysis. The model enables researchers to modify electrical parameters through S-function blocks and study generator dynamics without being constrained by pre-configured system-level limitations.
Implementing Fuzzy Control Lookup Table Calculations Using S-Functions
Utilizing MATLAB's S-functions to compute fuzzy control lookup tables through complete programmatic implementation without relying on the Fuzzy Logic Toolbox, featuring custom algorithm development and system-level integration approaches.
S-Function Implementation of Eye Diagram Functionality for Communications
An S-function written in MATLAB (.m format) that implements eye diagram functionality for communication systems, providing equivalent capabilities to Simulink's built-in eye diagram block
MATLAB Simulation of Matrix Converter Dual Space Vector Control
This is a MATLAB simulation program for dual space vector control of matrix converters, featuring Simulink models and S-functions programmed in M language, designed for power industry research simulations.
S-function in RBF Neural Network Tuned PID Simulink Model
Implementation of RBF neural network-based PID tuning using S-functions in Simulink, providing practical control system optimization approach with detailed code-level insights
Double Inverted Pendulum Model Implementation Using S-Functions
Implementation of a double inverted pendulum model using S-functions with simulation studies employing state feedback control, optimal control, and fuzzy control methodologies.
Deadbeat Control Model S-Function
Deadbeat Control Model S-Function for Simulink Environment - Essential for Power Electronics Research and Academic Papers
RBF Neural Network Implementation Using S-Function
RBF neural network programmed with S-function, primarily designed for controller applications with code-level implementation details
Adaptive Generalized Predictive Control S-Function
Adaptive Generalized Predictive Control S-Function implementation directly usable in SIMULINK for predictive control research, featuring system modeling and real-time control strategy adjustments