Simulink Model of LQR Controller for Inverted Pendulum System
Implementation of Linear Quadratic Regulator (LQR) controller for inverted pendulum stabilization using Simulink's control design and simulation capabilities
Explore MATLAB source code curated for "Simulink模型" with clean implementations, documentation, and examples.
Implementation of Linear Quadratic Regulator (LQR) controller for inverted pendulum stabilization using Simulink's control design and simulation capabilities
Developed a comprehensive Simulink model for an inverted pendulum system and implemented a classical PID controller with parameter tuning optimization
SIMULINK model for three-level converters, ideal for beginners learning about three-level converter topologies and PWM generation algorithms, featuring implementation-ready code structures and modulation techniques.
This Simulink model implements maximum boost control for Z-source inverters, featuring PWM generation algorithms and voltage/current regulation components to optimize power conversion efficiency.
Standard 25-bus PSAT dynamic model including detailed model documentation and Simulink implementation for power system simulation and analysis
Open-loop Simulink implementation of Cuk boost converter for educational purposes, demonstrating DC-DC power conversion principles.
This operational Simulink model demonstrates a model-free reference control algorithm application, featuring real-time parameter adaptation and configurable control strategies for collaborative learning and academic exchange
An operational Simulink model demonstrating fuzzy control algorithm implementation, suitable for collaborative learning and technical exchange among engineers and researchers
This is a Simulink model for vector control of permanent magnet synchronous motors (PMSM), where users can modify modules through this case study to achieve desired control results and implement custom control algorithms using MATLAB Function blocks and subsystem modifications.
This guide demonstrates how to implement and simulate LCL low-pass filters using MATLAB M-functions and Simulink block diagrams, including parameter design, transfer function implementation, and performance analysis.