Professional MATLAB source code with comprehensive documentation and examples
This simulation model presents a strategy that employs fuzzy controllers to regulate PWM signal duty cycles for asynchronous motor direct torque control. Building upon traditional DTC methods, it replaces conventional hysteresis comparators and space
Advanced PID Control with Smith Predictor for Pure Lag Compensation: Connected in parallel with PID controller to counteract the effects of actual time delays through predictive compensation
A MATLAB-based simulation model for photovoltaic (PV) systems implementation and analysis
A Simulink model implementation of a fuzzy PID controller with detailed algorithm explanation and parameter tuning guidance
SIMULINK Simulation of Three-Phase Induction Motor Vector Control System - A Practical Implementation with Code-Based Modeling Approaches
This Cognitive Radio Energy Detection Simulink model provides valuable assistance for beginners in understanding spectrum sensing techniques through practical implementation.
Implementation of a boost converter featuring PID control loops for precise voltage regulation
Simulink simulation of OFDM system featuring QAM modulation, peak-to-average power ratio (PAPR) reduction schemes, and comprehensive performance analysis
Simulation of Grid-Connected Inverters Using Repetitive Control with Implementation Insights
PWM rectifier implementation using Space Vector PWM (SVPWM) with dual-loop control strategy and MATLAB simulation
Building three-phase four-wire nonlinear load systems using MATLAB/Simulink with enhanced code implementation details.
This utility program implements multiple tuning methods including Ziegler-Nichols, Cohen-Coon, and IMC to calculate optimal PID parameters for first-order plus time delay systems, featuring algorithm comparisons and practical implementation guideline
This practical MATLAB Simulink example demonstrates automatic generation control in power systems through two comprehensive system diagrams, featuring implementation details of control algorithms and modeling approaches.
This system employs three two-dimensional fuzzy regulators to adjust the PID controller parameters Kp, Ki, and Kd. The control principle involves fuzzifying inputs based on error (e) and error change rate (ec), performing fuzzy logic inference, and d
A MATLAB simulation program implementing incremental PID control using difference equation objects, featuring the incremental PID algorithm with practical implementation details.
Implementation of a pulse radar system using Simulink (Verified compatible with MATLAB 6, untested with MATLAB 7) - Includes code methodology and block diagram configurations
SIMULINK Simulation of FSK Modulation Technique with Detailed Parameter Settings and Implementation Analysis
Simulink model for asynchronous motor control based on Chen Boshi's theories, covering power electronics and motion control. Power electronic converters have transitioned from thyristor-based controlled devices to power switching devices, shifting co
Fuzzy Control Self-Tuning PID: Algorithm simulation in Simulink environment with implementation demonstration using Fuzzy Logic Toolbox for parameter adaptation.
Implementation of adaptive fuzzy control for a single-arm robotic manipulator by designing an adaptive law, developing the main simulation program in Simulink, and creating controller S-functions to enable real-time adaptation.