Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller
Hassan, F., Fayek, W., Seoudy, H., Kamel, A. (2013). Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller. EKB Journal Management System, 15(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 15 – May 28 - 30, 2013), 1-13. doi: 10.21608/asat.2013.22283
F. N. Hassan; W. M. Fayek; H. M. Seoudy; A. Kamel. "Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller". EKB Journal Management System, 15, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 15 – May 28 - 30, 2013, 2013, 1-13. doi: 10.21608/asat.2013.22283
Hassan, F., Fayek, W., Seoudy, H., Kamel, A. (2013). 'Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller', EKB Journal Management System, 15(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 15 – May 28 - 30, 2013), pp. 1-13. doi: 10.21608/asat.2013.22283
Hassan, F., Fayek, W., Seoudy, H., Kamel, A. Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller. EKB Journal Management System, 2013; 15(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 15 – May 28 - 30, 2013): 1-13. doi: 10.21608/asat.2013.22283

Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller

International Conference on Aerospace Sciences and Aviation Technology
Article 125, Volume 15, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 15 – May 28 - 30, 2013, May 2013, Page 1-13  XML PDF (652.05 K)
Document Type: Original Article
DOI: 10.21608/asat.2013.22283
View on SCiNiTO View on SCiNiTO
Authors
F. N. Hassan1; W. M. Fayek2; H. M. Seoudy2; A. Kamel2
1Dept. of El. Power &Machine - Faculty of Engineering - Helwan University, Cairo, Egypt.
2Dep. of El. Power &Machine - High Institute of Engineering - Shorouk Academy, Cairo, Egypt.
Abstract
Brushless Direct Current (BLDC) motor becomes at the top of motors in high performance drive systems such as Electric vehicle (EV). This paper presents a modern approach of speed control for BLDC using particle swarm optimization (PSO) algorithm. to optimize the scaling factors of fuzzy logic controller (FLC). The overall system is simulated under various operating conditions and simulation results have been examined at different control techniques. At the same operating conditions, these simulation results are compared with those obtained using fuzzy logic. The investigated results illustrated that the use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The system is tested for a step change in load and the simulation results showed good dynamic response with fast recovery time.
Statistics
Article View: 151
PDF Download: 267