Research Article
A Concise Evaluation of Auto-tuned PID and Fuzzy Logic Controllers for Speed Control of a DC-Motor
@INPROCEEDINGS{10.1007/978-3-030-93709-6_17, author={Tefera T. Yetayew and Tamiru G. G/Meskel and Dawit M. G/michael}, title={A Concise Evaluation of Auto-tuned PID and Fuzzy Logic Controllers for Speed Control of a DC-Motor}, proceedings={Advances of Science and Technology. 9th EAI International Conference, ICAST 2021, Hybrid Event, Bahir Dar, Ethiopia, August 27--29, 2021, Proceedings, Part I}, proceedings_a={ICAST}, year={2022}, month={1}, keywords={Fuzzy Logic controller PID controller SISOtool Dynamic performance}, doi={10.1007/978-3-030-93709-6_17} }- Tefera T. Yetayew
Tamiru G. G/Meskel
Dawit M. G/michael
Year: 2022
A Concise Evaluation of Auto-tuned PID and Fuzzy Logic Controllers for Speed Control of a DC-Motor
ICAST
Springer
DOI: 10.1007/978-3-030-93709-6_17
Abstract
This paper presents the dynamic performance evaluation of the auto tuned conventional PID controller and fuzzy logic based speed control of a permanent magnet dc (PMDC) motor. Analytically designed PID controllers and fuzzy logic based controllers need final tuning until the response of the plant to be controlled meets the performance specifications set during design stage. Usually, fuzzy logic based controllers need more tuning activities than analytically designed conventional PID based controllers. The alarming advancement in automation tools provided a number offers to simplify the manual activities to be solved automatically within a short period of time. In this regard, MATLAB software provided automatic tuning features for conventional PID controllers by which the trial and error tuning period can be shorten. In this research, a conventional PID controller for a PMDC motor speed control application is tuned using one of auto tuning feature of MATLAB, i.e., SISOtool. And also, fuzzy logic based controllers is also designed using the fuzzy control system design approach. The performance of both controllers is evaluated for the conditions of no load and loaded conditions of the PMDC motor. The results reveal that application of fuzzy logic based controller has better response than PID based system response.
