Analyze and Evaluate the Performance Velocity Control in DC Motor | Zendy

Hazim M. Alkargole | Zendy; Abbas S. Hassan | Zendy; Raoof Talal Hussein | Zendy

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Analyze and Evaluate the Performance Velocity Control in DC Motor

Author(s) -

Hazim M. Alkargole,

Abbas S. Hassan,

Raoof Talal Hussein

Publication year - 2020

Publication title -

radioelectronics nanosystems information technologies

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.204

H-Index - 5

eISSN - 2414-1267

pISSN - 2218-3000

DOI - 10.17725/rensit.2020.12.507

Subject(s) - control theory (sociology) , pid controller , dc motor , fuzzy logic , controller (irrigation) , base (topology) , derivative (finance) , mathematics , fuzzy control system , control engineering , computer science , engineering , control (management) , artificial intelligence , temperature control , mathematical analysis , agronomy , electrical engineering , financial economics , economics , biology

A mathematical model of controlling the DC motor has been applied in this paper. There are many and different types of controllers have been used with purpose of analyzing and evaluating the performance of the of DC motor which are, Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR), Fuzzy Proportional Derivative (FPD) ,Proportional Integral Derivative (PID), Fuzzy Proportional Derivative with integral (FPD plus I) , and Fuzzy Proportional Integral (FPI) with membership functions of 3*3, 5*5, and 7*7 rule bases. The results show that the (FLC) controller with 5*5 rule base provides the best results among all the other controllers to design the DC motor controller.

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