Identification and Control of PMSM Using Artificial Neural Network

@article{Kumar2007IdentificationAC,
  title={Identification and Control of PMSM Using Artificial Neural Network},
  author={R. Kumar and R. Gupta and A. K. Bansal},
  journal={2007 IEEE International Symposium on Industrial Electronics},
  year={2007},
  pages={30-35}
}
Rotor speed in permanent magnet synchronous motor (PMSM) suffers from accuracy due to variation of motor parameters such as stator resistance, stator inductance or torque constant. The conventional linear estimators are not adaptive. Neural networks (ANN) have shown better results when estimating or controlling nonlinear systems. In this paper an artificial neural network based high performance speed control system for a PMSM is introduced. The rotor speed of the PMSM can be made to follow an… Expand

Figures from this paper

Identification and Control of PMSM Using Adaptive BP-PID Neural Network
TLDR
Simulation results show that this novel approach of speed control for PMSM using adaptive BP (back-propagations)-PID neural network can improve the dynamical performance and enhance the static precision of the speed system. Expand
Identification of PMSM based on EKF and elman neural network
Permanent magnet synchronous motor (PMSM) is a complex plant to control, due to its high nonlinearity and strong coupling. At the same time, the variations of motor parameters make this problem moreExpand
Neuro PID Speed Controller for Permanent Magnet Synchronous Motor
This paper deals with the designing of neural PID speed controller of Permanent Magnet synchronous Motor (PMSM). The conventional Proportional-Integral-Derivative (PID) controller is largely used inExpand
The Research of Adaptive Robust Predictive Current Control Algorithm of Permanent Magnet Synchronous Motors
Predictive current control algorithm which based on deadbeat theory is studied in this paper which can improve the current control performance of PMSM. In order to obtain high control effect, on-lineExpand
PSO-Based PI Controller for Speed Sensorless Control of PMSM
In the controlling three phase AC motor especially permanent magnet synchronous motor (PMSM), good controller is required to achieved the desired target of speed. This paper presents a comparisonExpand
Control of permanent magnet synchronous motor (pmsm) using vector control approach
Permanent magnet synchronous motors (PMSM) are mainly used in high-performance and high-efficiency motor drives such as used in railways. PMSM has the performance required for traction motors and isExpand
Identify PMSM's Parameters by Single-Layer Neural Networks with Gradient Descent
  • W. Shaowei, W. Shanming
  • Engineering
  • 2010 International Conference on Electrical and Control Engineering
  • 2010
In order to identify parameters of permanent magnet synchronous motor(PMSM) on-line, single-layer neural networks (SLNN) with gradient descent is proposed. SLNN can study and adapt itself by changeExpand
Comparative analysis of neural and P-I controller for
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 translateExpand
The study of recursive-based sliding mode adaptive control of the permanent magnet synchronous motor
The urgent needs in many occasions have stimulated the study of the permanent magnet synchronous motor (PMSM). The model of the PMSM system has multi-variable, highly nonlinear, strong couplingExpand
Back-Emf-Based Sensorless Field-Oriented Control of PMSM Using Neural-Network-Based Controller with a Start-Up Strategy
TLDR
Back-emf-based sensorless field-oriented control of permanent magnet synchronous motor of surface-mounted type, employing neural-network-based controller for current and speed control is described, and a start-up strategy is proposed, to predict the initial rotor position. Expand
...
1
2
3
...

References

SHOWING 1-10 OF 19 REFERENCES
On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors
This paper presents a novel approach of speed control for a permanent magnet synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based on motor dynamics and nonlinearExpand
Speed control of permanent magnet motors using sliding mode observers for induced EMF position and speed estimation
This paper presents a speed control system for a permanent magnet synchronous motor (PMSM) in which the sliding mode technique is used to estimate the induced EMF, rotor position and speed. TheExpand
A permanent-magnet synchronous motor servo drive using self-constructing fuzzy neural network controller
A self-constructing fuzzy neural network (SCFNN) is proposed to control the rotor position of a permanent-magnet synchronous motor (PMSM) drive to track periodic step and sinusoidal reference inputsExpand
A discrete-time predictive current control for PMSM
TLDR
The proposed current controller has been analyzed, and the experimental results are shown to prove the feasibility and effectiveness of the proposed predictive current controller using a prototype 750 W PMSM servo drive system. Expand
Implementation of an artificial-neural-network-based real-time adaptive controller for an interior permanent-magnet motor drive
This paper presents the implementation of an artificial-neural-network (ANN)-based real-time adaptive controller for accurate speed control of an interior permanent-magnet synchronous motor (IPMSM)Expand
Adaptive Tracking Control for High Performance DC Drives
This paper presents a novel application of a modified adaptive controller to a dc motor for high performance tracking applications, such as robotics, actuation and manipulation. By the proposedExpand
Neural networks for self-learning control systems
It is shown that a neural network can learn of its own accord to control a nonlinear dynamic system. An emulator, a multilayered neural network, learns to identify the system's dynamicExpand
Neural network application to high performance electric drives systems
  • M. El-Sharkawi
  • Computer Science
  • Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics
  • 1995
TLDR
Any NN design can be greatly enhanced when ancillary techniques are used before, during and after training, and an application to a brushless DC motor is discussed. Expand
Identification and control of dynamical systems using neural networks
TLDR
It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems and the models introduced are practically feasible. Expand
Theory and applications of neural networks for industrial control systems
The theory and the applications of artificial neural networks, especially in a control field, are described. Recurrent networks and feedforward networks are discussed. Application to patternExpand
...
1
2
...