Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—Due to their great efficiency in converting mechanical energy in manufacturing as well as energy recovery, Direct Current (D.C.) motors have been utilized for a long time. This sort of motor's machinery is extremely powerful and capable of delivering maximum torque. In this work, three controllers are designed and sought to establish the impact of these three types of controllers in the control performance of D.C. motor in terms addressed to control the position. The first one is Linear Proportional-Integral-Derivative (LPID) controller, second one Nonlinear Proportional-Integral-Derivative controller (NPID) and then third Fuzzy Logic Controller (FLC). The control's results yielded an appropriate answer for the applications. The outcomes of simulations run in the MATLAB environment are compared. According to the findings, fuzzy position-controlled D.C. motors have a faster settling time and higher performance parameters than LPID and NPID position-controlled D.C. motors, in addition, FLC provides an accurate controller for controlling the systems.
Index Terms—position, D.C. motor, controllers, FLC, fuzzification, defuzzification, COG, mamdani, LPID, NPID
Cite: Ayad E. Korial and Ivan Isho Gorial, "System Analysis and Controllers Performance Comparison for D.C. Motor," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 7, pp. 520-526, July 2022. DOI: 10.18178/ijmerr.11.7.520-526
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