Explore MATLAB source code curated for "模糊控制器" with clean implementations, documentation, and examples.
A hybrid temperature controller that utilizes PID control for small deviations and fuzzy logic control for large deviations, with switching mechanism for mode transition. This implementation provides valuable reference for control system design with practical code structure considerations.
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 voltage vector state selectors with fuzzy controllers to refine control rules. The implementation involves controlling inverter switching operations to reduce torque and flux pulsations, thereby enhancing both dynamic and static performance of AC asynchronous motor servo systems. The approach demonstrates strong robustness and adaptability through intelligent rule-based decision making in the control algorithm.
T-S model implementation for single inverted pendulum system featuring LMI-based controller design, including source code ex6.m, fuzzy controller S-function ctrl_ex6.m, and plant model S-function plant_ex6.m with detailed algorithm explanations
Matrix-based fuzzy control inference using rule tables, with implementation of fuzzy controllers incorporating first-order delay and inertial elements
A simulation design of a fuzzy controller with a centrifuge as the controlled object. This example utilizes Fuzzy Logic Toolbox and Simulink for simulation design, and presents the output response curve of the controlled system. The implementation includes designing membership functions, rule bases, and configuring Simulink blocks for dynamic system analysis.
This resource demonstrates fuzzy controller optimization through genetic algorithms, featuring practical code implementation examples for parameter tuning and performance enhancement.
Simulation of hydraulic system fuzzy adaptive PID control, including design files for the fuzzy controller with MATLAB/Simulink implementation examples.
MATLAB programming file for fuzzy controller using Gaussian membership functions, featuring complete fuzzy logic implementation with rule-based inference systems.
Design a fuzzy control program with a first-order inertia plus pure delay controller and observe simulation results. Implementation includes modeling the delayed system response and analyzing fuzzy logic performance through simulation platforms.
Trajectory tracking is implemented using PID controllers or fuzzy controllers to control vehicle movement. The system is programmed to enable obstacle avoidance while following predefined paths, with vehicle trajectories pre-specified for navigation tasks.