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| Feedback control for chaotic motion of nonlinear dynamical system by intelligent neural network |
| Jang Sun-Ho1, Zheng Tie-sheng2 |
| 1. Department of Mathematics and Mechanics in University of Science, D.P.R.Korea Pyongyang Unjong District ，2. Department of Mechanics and Engineering Science, Shanghai, 200433 |
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Abstract In this paper, the control of chaotic vibration using neural network for a rigid Jeffcott rotor system supported on short journal bearings is presented. Results of the research demonstrate that feedback control signal is applied to rotor-bearing system, an unstable periodic orbit embedded in the chaotic attractor is attracted to stable periodic orbit. From learning of the neural network, the delay feedback control gain is automatically traced. Numerical simulations show that in short time, a chaotic vibration has be stabilized effectively and then the feedback signal has automatically vanished. This method offer theoretical basis for control of chaotic vibration of rotor bearing system, especially for the rotor system used in engineering practice.
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Received: 07 December 2010
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Corresponding Authors:
Jang Sun-Ho
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2012, Vol. 31 
