Simulation of self-tuned fuzzy PID controlled DC motor in simulink and performance analysis from speed time characteristics
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902274164391936 |
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| author | Kar, Suman |
| author_facet | Kar, Suman |
| contents | <p>This paper presents the simulation and performance analysis of a self-tuned fuzzy PID-controlled DC motor using MATLAB/Simulink. The proposed controller integrates fuzzy logic with a conventional PID controller to dynamically adjust its parameters, improving the system’s adaptability to varying operating conditions. The simulation model is developed in Simulink, and the speed-time characteristics of the DC motor are analyzed to evaluate the controller’s performance. Key performance metrics such as rise time, settling time, overshoot, and steady-state error are compared with conventional PID and fuzzy logic controllers. The results demonstrate that the self-tuned fuzzy PID controller enhances system stability, reduces overshoot, and improves response time, making it an effective control strategy for DC motor speed regulation. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17493130 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Simulation of self-tuned fuzzy PID controlled DC motor in simulink and performance analysis from speed time characteristics Kar, Suman Fuzzy systems Fuzzy PID controller DC motor Fuzzy logic Membership function <p>This paper presents the simulation and performance analysis of a self-tuned fuzzy PID-controlled DC motor using MATLAB/Simulink. The proposed controller integrates fuzzy logic with a conventional PID controller to dynamically adjust its parameters, improving the system’s adaptability to varying operating conditions. The simulation model is developed in Simulink, and the speed-time characteristics of the DC motor are analyzed to evaluate the controller’s performance. Key performance metrics such as rise time, settling time, overshoot, and steady-state error are compared with conventional PID and fuzzy logic controllers. The results demonstrate that the self-tuned fuzzy PID controller enhances system stability, reduces overshoot, and improves response time, making it an effective control strategy for DC motor speed regulation. </p> |
| title | Simulation of self-tuned fuzzy PID controlled DC motor in simulink and performance analysis from speed time characteristics |
| topic | Fuzzy systems Fuzzy PID controller DC motor Fuzzy logic Membership function |
| url | https://doi.org/10.5281/zenodo.17493130 |