| Zero phase error control based on neural compensation for flight simulator servo system |
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| 作者姓名： | Liu Jinkun He Peng & Er Lianjie .School of Automation Science & Electrical Engineering Beijing Univ. of Aeronautics and Astronautics Beijing P.R.China .Computing Lad Oxford Univ.Parks Road Oxford OXQD U.K. |
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| 作者单位： | Liu Jinkun1，He Peng2 & Er Lianjie1 1.School of Automation Science & Electrical Engineering，Beijing Univ. of Aeronautics and Astronautics，Beijing 100083，P.R.China; 2.Computing Lad，Oxford Univ.Parks Road，Oxford，OX13QD U.K. |
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| 摘 要： | 1. INTRODUCTION In high precision tracking applications of mechanical systems, feedforward controllers are often used to enhance tracking performance, and they are generally prefilter for the desired trajectory to compensate for the dynamic lag of the closed loop and to extend the tracking bandwidth. Because of the rapid growth of computer technology, digital motion control system has become more and more popular, and feedforward controller design in discrete time domain attracts much atte…
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| 收稿时间： | 13 October 2005 |
Zero phase error control based on neural compensation for flight simulator servo system |
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| Liu Jinkun,He Peng & Er Lianjie .School of Automation Science & Electrical Engineering,Beijing Univ. of Aeronautics and Astronautics,Beijing ,P.R.China, .Computing Lad,Oxford Univ.Parks Road,Oxford,OXQD U.K..Zero phase error control based on neural compensation for flight simulator servo system[J].Journal of Systems Engineering and Electronics,2006,17(4):793-797. |
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| Authors: | Liu Jinkun He Peng Er Lianjie |
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| Institution: | 1. School of Automation Science & Electrical Engineering, Beijing Univ. of Aeronautics and Astronautics,Beijing 100083, P.R.China
2. Computing Lad,Oxford Univ.Parks Road, Oxford,OX13QD U.K. |
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| Abstract: | Using the future desired input value, zero phase error controller enables the overall system's frequency response exhibit zero phase shift for all frequencies and a small gain error at low frequency range, and based on this, a new algorithm is presented to design the feedforward controller. However, zero phase error controller is only suitable for certain linear system. To reduce the tracking error and improve robustness, the design of the proposed feedforward controller uses a neural compensation based on diagonal recurrent neural network. Simulation and real-time control results for flight simulator servo system show the effectiveness of the proposed approach. |
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| Keywords: | zero phase error servo system neural network robust control flight simulator |
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