Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7018
Title: Performance estimation of stability and fault analysis for BLDC motor using PID tune ANN controller with state space model [articol]
Authors: Thirunavukkarasu, S.
Nagarajan, C.
Subjects: BLDC Motor
PID Tuned Artificial Neural Network
Stability analysis
DSP Processor
Issue Date: 2019
Publisher: Timișoara : Editura Politehnica
Citation: Thirunavukkarasu, S.; Nagarajan, C.: Performance estimation of stability and fault analysis for BLDC motor using PID tune ANN controller with state space model. Timişoara: Editura Politehnica, 2019.
Series/Report no.: Journal of Electrical Engineering;Vol 19 No 3
Abstract: In this article, the steady state stability and internal fault analysis of the Brushless DC motor (BLDC) with Hybrid PID-ANN Controller has been analyzed with state space model. The steady state stability analysis of the proposed controller has been examined using state plan and Lyapunov Technique. The proposed controller performance is analyzed for sudden change in load, speed variation, Open circuit fault (OCF) and Short Circuit Fault (SCF) occur disturbance condition of the motor has been presented and also the controller performance is compared with conventional controller. A prototype model 300W, 50Hz system is developed and built, the transient and dynamic performances for the BLDC motor are compared and presented. From the simulation and experimental results, it is found that the PID-ANN Controller can have better controller compared with conventional controller.
URI: https://dspace.upt.ro/xmlui/handle/123456789/7018
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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