Title :
Comparative analysis of neural and P-I controller for
Author :
Nagarajan, V.S. ; Balaji, M. ; Kamaraj, V. ; Seetha, B.
Author_Institution :
Dept. of EEE, SSNCE, Chennai, India
Abstract :
This paper describes Artificial Neural Network (ANN) based speed and current controller design for Permanent Magnet Synchronous Motor (PMSM).The neural network controllers are designed to translate the speed and current errors into respective driving voltage signals to the input of PMSM. A multilayer feed forward neural network is trained using Back propagation learning algorithm to estimate the driving voltage input of PMSM. To analyze the performance of neural controller, the overall system is simulated under various operating conditions. The simulation results compared with conventional P-I controller for different conditions highlight the performance of the proposed controller in steady state and transient conditions.
Keywords :
PI control; backpropagation; control engineering computing; electric current control; feedforward neural nets; machine control; permanent magnet motors; power engineering computing; synchronous motor drives; velocity control; ANN controller; PI controller; PMSM drive; artificial neural network controller; backpropagation learning algorithm; comparative analysis; current error controller design; driving voltage signal estimation; multilayer feed forward neural network; performance analysis; permanent magnet synchronous motor; speed error controller design; steady state conditions; transient conditions; Conferences; Decision support systems; Yttrium; ANN; Back propagation; P-I controller; PMSM;
Conference_Titel :
Electrical Energy Systems (ICEES), 2014 IEEE 2nd International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3738-7
DOI :
10.1109/ICEES.2014.6924154
