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基于变结构控制的旋转调制激光惯导伺服控制系统设计 被引量:3

Rotating Laser Gyro Inertial Navigation System's Servo Control System Design Based on Sliding Mode Variable Structure Control Theory
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摘要 调制转台的到位精度以及速度平稳性直接影响舰载旋转调制激光陀螺惯性导航系统的导航定位精度。摩擦会使调制转台产生极限环现象,进而严重影响调制转台的到位精度以及速度平稳度。针对上述问题,基于变结构控制策略设计了旋转调制激光陀螺惯性导航系统旋转调制转台伺服控制系统,可以有效克服由于摩擦、未建模误差以及电机力矩波动产生的极限环现象。仿真结果表明,存在摩擦、未建模误差等外界干扰的条件下,调制转台的到位精度以及速度平稳度均能得到较为满意的结果。 Position accuracy and the smoothness of speed of the turntable have a direct impact on positioning accuracy of artier mod-ulation laser gyro inertial navigation system. Friction will produce ring phenomenon on modulation turntable, which would seriously affect the position accuracy and the smoothness of speed of the turntable. To solve these problems, based on variable structure control strategy, rotational modulation of the laser gyro inertial navigation system modulation turntable rotation servo control system is designed that can effectively overcome the limit ring phenomenon due to friction, no modeling error and motor torque ripple generated. Simulation results show that if there is friction and other external interference. The satisfactory results about the position accu- racy and the smoothness of speed of the turntable of modulate turntable are obtained.
出处 《光学与光电技术》 2016年第3期101-104,共4页 Optics & Optoelectronic Technology
基金 总装基金(9140A01060112JW05017)资助项目
关键词 变结构控制 旋转调制激光惯导 伺服控制 趋近律 variable structure control modulation laser gyro inertial navigation system servo control approach law
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参考文献14

  • 1袁赣南,左志丹,曲桂婷,纪红.二阶滑模变结构控制系统的滑模到达条件[J].华中科技大学学报(自然科学版),2013,41(6):70-75. 被引量:11
  • 2Gapolino G A,Du B. Extended Kalman filter observer for induction machine robot currents[C].Proceedings of The European Power Electrics Conference,1991,3: 672-677.
  • 3Li Qian,Feng Jin-fu,Peng Zhi-zhuang,et al. An iterated extended Kalman particle filter for multi-sensor based on pseudo sequential fusion[J].Proceedings of the 2007 IEEE International CA on Robotics and Biomimetics,December 15-18,2007,Sanya,China: 1534-1539.
  • 4M. Sanjeev Arulampalam,Simon Maskell,Neil Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J].IEEE Transactions On Signal Processing,2002,50(2): 174-188.
  • 5Jayesh H. Kotecha,Petar M. Djuric. Gaussian particle Filtering[J].IEEE Transactions on Signal Processing,2003,51(10): 2592-2600.
  • 6Miodrag Bolic. Architectures for efficient implementation of particle filters[J].The Dissertation for the Degree of Doctor of Philosophy in Electrical Engineering,2004: 70-82.
  • 7Fredrik Gustafsson,Fredrik Gunnarsson,Niclas Bergman,et al. Particle filters for poisitioning,navigation and Tracking[J].IEEE Transaction on Signal Processing. Special issue on Monte Carlo Methods for Statistical Signal Processing,2008.
  • 8Robert J. Elliott,Simon Haykin. A new nonlinear filter[J].Communications in Information and Systems,2006,6(3): 203-220.
  • 9S J Julier. The scaled unscented tranformation[J].Proceedings of the American Control Conference,2002,6: 4555-4559.
  • 10T Lefebvre,H Bruyninckx,J D Schutter. A non-minimal state Kalman filter for nonlinear parameter estimation applied to autonomous compliant motion[C].Proceedings of the IEEE International CA on Robotics and Automation,2003,5.

二级参考文献28

  • 1Wang X H, Yang G, Xu W L. Output tracking for nonlinear non- minimum phase systems and application to PVTOL aircraft[J]. International Journal of Systems Science, 2008, 39(1): 29-42.
  • 2Huang J. Asymptotic tracking of a non minimum phase nonlin- ear system with non hyperbolic zero dynamics[J]. IEEE Trans- actions on Automatic Control, 2000, 45(3): 542-546.
  • 3Wang M L, Chang R Y, Yang S Y. Analysis and optimal con- trol of time varying systems via general orthogonal polynomi- als[J]. International Journal of Control, 1986, 44(4): 895-910,.
  • 4Tang G Y, Zhao Y D, Zhang B L. Optimal output tracking control for nonlinear systems via successive approximation ap- proach[J]. Nonlinear Analysis, 2007, 66(6): 1365-1377.
  • 5Chen B S, Lee C H, Chang Y C. Tracking design of uncer- tain nonlinear SISO systems: Adaptive fuzzy approach[J]. IEEE Transactions on Fuzzy Systems, 1996, 4(1): 32-43.
  • 6Xu J X, Lee T H, Pan Y J. On the sliding mode con- trol for DC servo mechanisms in the presence of un modeled dynamics[J]. Mechatronics, 2003, 13 (7) : 755-770.
  • 7Erbatur K, Kawamura A. Chattering elimination via fuzzy boundary layer tuning [C]//IECON. Sevilla:IEEE, 2002: 2131-2136.
  • 8Levant A. Higher-order sliding modes, differentia- tion and output-feedback control[J]. Int J of Control, 2003, 76(9).. 924-941.
  • 9Bartolini G, Ferrara A, Usai E. Applications of a su boptimal discontinuous control algorithm for uncer- tain second order systems[-J]. Int J of Robust and Nonlinear Control, 1997, 7(4): 299-319.
  • 10Levant A. Higher-order sliding modes, differentia- tion and output-feedback control[J]. Int J of Control, 2003, 76(9): 924-941.

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