Explore MATLAB source code curated for "滑模控制" with clean implementations, documentation, and examples.
This comprehensive package includes quadrotor dynamic modeling programs, sliding mode control algorithms implementation, Simulink block diagrams, and plotting scripts for performance analysis - ideal for learning advanced UAV control techniques.
Classic sliding mode control program implementation, designed to help beginners quickly grasp the programming concepts of sliding mode control through practical code examples and algorithm explanations
This wind power generation system implements sliding mode control with integrated wind speed modeling. Please refer to the documentation before use for implementation details and system configuration guidelines.
Permanent Magnet Synchronous Motor Speed Loop Sliding Mode Control - Our proprietary research available for reference and implementation
Professor Liu Jinkun's sliding mode control algorithm implements robust control for nonlinear systems with partially unknown parameters, featuring strong disturbance rejection capabilities through sliding surface design and adaptive estimation techniques.
Simulink-based simulation of sliding mode control systems with implementation guidelines and performance analysis
Sliding mode control program capable of controlling nonlinear systems with partially unknown parameters, featuring robust disturbance rejection capabilities
A tested and validated sliding mode variable structure simulation for permanent magnet synchronous motors, featuring robust control algorithm implementation and performance analysis capabilities.
This program implements sliding mode control with adaptive learning of upper bounds using RBF neural networks, designed for scenarios where upper bound values cannot be practically measured. The implementation includes neural network-based estimation algorithms and adaptive control law adjustments.
Sliding mode control and chaos control implementation for permanent magnet synchronous motors (PMSM) with non-uniform air gaps, including MATLAB/Simulink modeling approaches and stability analysis algorithms.