@inproceedings{b116cd3a97f543b5932ac03b06fe8d0d,
title = "Design of electric dynamic load simulator based on recurrent neural networks",
abstract = "This paper describes the electric dynamic load simulator (DLS) driving by permanent magnet synchronous motor. It can reproduce desired load torque acting on loaded objective to test its performance. A simplified dynamic model is derived to clarify the causation of redundancy torque caused by the motion of loaded objective and illustrate the drawbacks of applying conventional control strategy. Real-time recurrent neural networks based iterative learning control strategy is adopted. It can restrain redundancy torque and improve the accuracy of load torque in spite of the nonlinearity and uncertainty in the system. The expected results have been obtained from simulation and experiment.",
keywords = "Actuators, Mathematical model, Mechanical sensors, Motion control, Nonlinear dynamical systems, Permanent magnet motors, Proportional control, Recurrent neural networks, Rotors, Torque control",
author = "Mingyan Wang and Ben Guo and Yudong Guan and Hao Zhang",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE International Electric Machines and Drives Conference, IEMDC 2003 ; Conference date: 01-06-2003 Through 04-06-2003",
year = "2003",
doi = "10.1109/IEMDC.2003.1211264",
language = "英语",
series = "IEMDC 2003 - IEEE International Electric Machines and Drives Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "207--210",
booktitle = "IEMDC 2003 - IEEE International Electric Machines and Drives Conference",
address = "美国",
}