Explore MATLAB source code curated for "控制器" with clean implementations, documentation, and examples.
MATLAB Simulation of HVDC High Voltage Direct Current Transmission featuring Modular Multilevel Converter (MMC) topology with comprehensive control system implementation
Implementation of a Backstepping-Based Adaptive Robust Nonlinear Control System for Marine Vessels with Code Integration Strategies
Implementation of battery grid integration system including battery model, four-quadrant converter model, and controller model with active/reactive power control algorithms to enable bidirectional power exchange between battery storage and AC grid systems.
Source code for Active Disturbance Rejection Controller - an excellent resource for learning ADRC with practical implementation examples and algorithm explanations.
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
The model reference adaptive control system comprises a reference model, controlled plant, controller, and adaptive law. The core of system design involves synthesizing and designing the controller and adaptive mechanism to ensure stable tracking of the reference model's output [2]. Recent years have witnessed significant advancements in adaptive control for time-varying systems. Building upon reference [3], this paper conducts simulation studies on an improved model reference adaptive control scheme for linear time-varying systems, with simulation results demonstrating the feasibility of the control approach. Key implementation considerations include adaptive law formulation using gradient-based algorithms and Lyapunov stability theory for convergence guarantees.
A SIMULINK simulation was conducted to compare the control performance of a fuzzy self-tuning PID controller and a conventional PID controller applied to the same first-order inertial system, with MATLAB implementation details highlighting tuning methodologies and parameter adaptation algorithms.
Developing controllers using MATLAB and implementing model-free adaptive control in Simulink block diagrams with code integration details
Based on compact form linearization and partial form linearization methods, nonlinear systems can be linearized for subsequent PID controller design, with implementation considerations for control algorithm structure and parameter tuning.
A satellite attitude control system model was developed using MATLAB Simulink, enabling satellite control through parameter adjustments of controllers and other components, with detailed simulation algorithms and function implementations.