Show simple item record

dc.contributor.advisorSalem, Nema
dc.contributor.authorAli, Mirna
dc.contributor.authorKamal, Jana
dc.date.accessioned2024-01-21T12:27:12Z
dc.date.available2024-01-21T12:27:12Z
dc.date.submitted2023-12
dc.identifier.urihttp://hdl.handle.net/20.500.14131/1375
dc.description.abstractThis capstone project focuses on optimizing actuator control, specifically for DC motors. The project aims to design and evaluate various controllers, ranging from classic to intelligent. Finding the optimal controller for a DC motor offers many advantages, including stability, robustness, and precise control, which are useful in fields like robotics. This paper proposes several controllers: pole placement, different configurations of PID, LQR, and LQI with different optimization techniques, fuzzy logic, and adaptive neuro-fuzzy controller schemes. The MATLAB environment was used to develop and test these controllers. Their performance was measured in terms of rise time, settling time, and overshoot. Based on the performance, the I-PD controller is overall the optimal controller for the DC motor. It achieves the fastest rise time of 507.7 msec, a settling time of 2.3 sec, and an overshoot of 0.51%en_US
dc.language.isoenen_US
dc.publisherEffat Universityen_US
dc.subjectClassical controllersen_US
dc.subjectIntelligent controllersen_US
dc.subjectDC motoren_US
dc.subjectControl systemen_US
dc.titlePerformance Evaluation of Classic and Intelligent Controllers for Actuatorsen_US
dc.typeCapstoneen_US
refterms.dateFOA2024-01-21T12:27:13Z
dc.contributor.departmentElectrical and Computer Engineeringen_US


Files in this item

Thumbnail
Name:
Performance Evaluation of Classic ...
Embargo:
2027-05-01
Size:
2.019Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record