Explore MATLAB source code curated for "matlab_simulink" with clean implementations, documentation, and examples.
This MATLAB Simulink-based synchronous generator simulation model can be executed directly to observe the operational states of a synchronous generator. It allows simulation of various fault conditions to analyze generator behavior under disturbances, featuring configurable parameters and real-time monitoring capabilities.
A MATLAB/Simulink-based control system model for a quadruple inverted pendulum, featuring dynamic simulation and stabilization algorithms
A comprehensive MATLAB/Simulink implementation of induction motor vector control featuring field-oriented control algorithms, PI regulators, and Clarke/Park transformations for dynamic performance analysis.
A MATLAB/Simulink-based wind power generation modeling system containing numerous pre-built practical models ready for immediate deployment in real-world projects, featuring customizable aerodynamic models, generator controls, and power conversion algorithms.
This MATLAB Simulink-based implementation provides comprehensive simulation of the W-CDMA communication system. The code includes channel coding (convolutional/Turbo coding), interleaving, rate matching, modulation (QPSK), spreading (using OVSF codes), channel models (AWGN/multipath), RACK receiver implementation, and corresponding decoding procedures. This resource offers valuable reference material for studying individual W-CDMA system modules, with detailed algorithmic implementations suitable for performance analysis and system optimization.
MATLAB Simulink Neural Network Model 1: System Modeling and Neural Simulation Applications
MATLAB Simulink implementation for adaptive control system using fuzzy logic to dynamically adjust PID parameters
Developed in the MATLAB/Simulink environment, this asynchronous motor simulation provides comprehensive results and serves as the foundational component for direct torque control (DTC) implementation, incorporating parameter tuning and performance analysis capabilities.
This project involved studying the physics of solar panels and implementing a simulation using MATLAB Simulink. The maximum peak power tracking (MPPT) algorithm was developed to control the system's duty ratio, optimizing efficiency. The simulation also analyzed the effects of irradiance and temperature variations on panel performance, with results aligning with theoretical expectations.
Trajectory Tracking for vessel path control, a classic underactuated control problem. Implements two distinct algorithms using MATLAB-Simulink, providing an intuitive and clear simulation environment complete with modeling and controller design.