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Title: MATLAB Simulation of Fuzzy PID Temperature Control System
Aim: Fuzzy PID-based temperature control system enhancing precision, reducing overshoot, and improving heating response efficiency.
Learning Outcomes:
- Understand the concept of fuzzy logic control and its integration with PID systems.
- Learn to model and simulate a temperature control system using MATLAB/Simulink.
Software Requirements:
- MATLAB/Simulink
- Fuzzy Logic Toolbox
Result: The fuzzy PID controller demonstrates superior performance compared to the conventional PID controller. Ensured stable temperature maintenance and improved energy efficiency.
Cite As
Rohini (2026). MATLAB Simulation of Fuzzy PID Temperature Control System (https://au.mathworks.com/matlabcentral/fileexchange/182527-matlab-simulation-of-fuzzy-pid-temperature-control-system), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: PID Controller Simulator, PID Basics
General Information
- Version 1.0 (50.9 KB)
MATLAB Release Compatibility
- Compatible with R2025b
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0 |
