Modeling and Designing a Genetically Optimized PID Controller for Separately Excited DC Motor
| dc.contributor.author | Gani, Md. Manjurul | |
| dc.contributor.author | Isalm, Dr. Md. Saiful | |
| dc.contributor.author | Ullah, Dr. Muhammad Ahsan | |
| dc.date.accessioned | 2026-07-06T21:27:37Z | |
| dc.date.available | 2026-07-06T21:27:37Z | |
| dc.date.issued | 7-Feb-2019 | |
| dc.description.abstract | This paper presents an intelligent method to | |
| dc.description.abstract | design a proportional-integral-derivative (PID) controller to | |
| dc.description.abstract | control the speed of a separately excited DC motor (SEDCM). | |
| dc.description.abstract | There are various artificial intelligent (AI) based proposed | |
| dc.description.abstract | methods for tuning the parameters of a PID controller. Genetic | |
| dc.description.abstract | Algorithm is a powerful optimization tool used to optimize | |
| dc.description.abstract | several parameters from the given population based on natural | |
| dc.description.abstract | evolution. The purpose of this paper is to obtain the suitable | |
| dc.description.abstract | speed characteristics of a SEDCM by optimizing the transient | |
| dc.description.abstract | response i.e. by minimizing the settling time, overshoot and the | |
| dc.description.abstract | rise time using genetic algorithm (GA). In this method, integral | |
| dc.description.abstract | of absolute error (IAE) is taken as the cost function. The GA | |
| dc.description.abstract | optimized PID controller shows better performance with | |
| dc.description.abstract | respect to settling time, rise time and percentage of overshoot | |
| dc.description.abstract | than other conventional methods and adaptive fuzzy PID | |
| dc.description.abstract | controller. | |
| dc.identifier.other | http://103.99.128.19:8080/jspui/handle/123456789/307 | |
| dc.identifier.uri | http://103.99.128.19:8080/xmlui/handle/123456789/307 | |
| dc.publisher | Faculty of Electrical and Computer Engineering, CUET | |
| dc.source | CUET Digital Repository | |
| dc.subject | Intelligent | |
| dc.subject | PID controller | |
| dc.subject | SEDCM | |
| dc.subject | Transient response | |
| dc.subject | Object function | |
| dc.title | Modeling and Designing a Genetically Optimized PID Controller for Separately Excited DC Motor | |
| dc.title.alternative | International Conference on Electrical, Computer and Communication Engineering (ECCE-2019) |