期刊文献+

飞行器姿控模糊参数整定PID算法研究

Research on PID Algorithm with Fuzzy Parameters Adjusting for Satellite Attitude Control
下载PDF
导出
摘要 针对光学成像卫星姿态大角度机动控制要求,在力矩受限的情况下,设计了一种模糊参数整定PID算法,通过模糊智能控制器的输出来对经典PID控制器的参数进行整定,并设计了适合的隶属度函数及论域,使模糊控制器的整定参数更趋近于适应控制情况要求。同时,结合验证非线性控制的幅-相曲线稳定性判定定理,用多级继电函数来描述模糊控制器数学模型,证明文中的卫星姿态大角度机动模糊参数整定PID控制系统的稳定性。仿真结果表明,该智能控制算法有较好的控制性能和鲁棒性,其超调量为0.2%,控制指向精度为0.05°,稳定度为0.005°/s。在系统参数改变±50%时仍能渐进稳定。 A PID algorithm with fuzzy parameters adjusting for large angle maneuver control of satellite attitude in the case of limited torque is designed.In this algorithm,the classic PID parameters are adjusted according to the output of fuzzy intelligent controller,a suitable membership function and the universe are designed,so the fuzzy adjusting parameters can meet the requirements more precisely.Combined with amplitude-phase curve stability decision theorem,the mathematical model of the fuzzy controller is described by multi-level relay function which proves the stability of the PID control system.Simulation results show that this intelligent control algorithm has better control performance and robustness,and it obtains an overshoot of 0.2%,control point accuracy of 0.05°,and stability of 0.005°/s.The system is still asymptotically stable when the control parameters change by ±50%.
出处 《半导体光电》 CAS CSCD 北大核心 2011年第3期424-428,共5页 Semiconductor Optoelectronics
关键词 大角度机动 模糊控制 幅相曲线 large angel maneuver fuzzy control amplitude-phase curve
  • 相关文献

参考文献8

  • 1BuijtenenWM, Sehram G, Babuska R, et al. Adaptive Fuzzy control of satellite attitude by reinforcement learning [ J ]. IEEE Trans. Fuzzy Systems,1998, 6(2) : 185-194.
  • 2Thongchet S, Kuntanapreeda S. A fuzzy-neural bang- bang controller for satellite attitude control[J]. Proc. of SPIE, 2001, 4390: 97.
  • 3王蜀泉,赵光恒.基于模糊控制的卫星大角度姿态机动控制方法研究[J].中国科学院研究生院学报,2006,23(1):111-117. 被引量:4
  • 4Chiang R Y, Jang J-S. Fuzzy logic attitude control for cassini spacecraft [J]. Fuzzy Systems, 1994, 3: 1532- 1537.
  • 5Wertz J R. Spacecraft Attitude Determination and Control[M]. Kluwer Academic Pub. ,1991.
  • 6Kaplan M. Modern Spacecraft Dynamics and Control [M]. John Wiley and Sons Inc. , 1976.
  • 7韩晓泉.模糊控制在光电跟踪伺服系统的应用研究[D].北京:中国科学院研究生院,2004.
  • 8解旭辉,戴一帆,李圣怡.基于模糊滑模控制器的伺服跟踪控制研究[J].控制理论与应用,2003,20(6):913-918. 被引量:8

二级参考文献7

  • 1[3]SLOTINE J J E. Sliding controller for non-linear systems[J]. Int J of Control, 1984,40(2) :421 - 434.
  • 2[5]BRIAN ARMSTRONG-HELOUVRY. Control of Machines with Friction [MI. California: Kluwer Academic Publishers,1991.
  • 3[7]WANG Lixin. A Course in Fuzzy Systems and Control [ M ]. New Jersey: Prentice-Hall Int,Inc, 1997.
  • 4Suriya Thongchet, Suwat Kuntanapreeda. A fuzzy-neural bang-bang controner for satellite attitude control. The Journal of KMITNB., 2001,11 (4) :11 - 17.
  • 5Chen BS, Wu CS, Jan YW. Adaptive fuzzy mixed H2/H ∞ attitude control of spacecraft. IEEE Transactions on Aerospace And Electronic Systems,2000,36(4) : 1343 - 1359.
  • 6Trebi-Ollennu, White A. Robust output tracking for MIMO nonlinear systems: An adaptive fuzzy systems approach, lEE Proc.-Control Theory Appl., 1997,144(6) :537 - 544.
  • 7Claudio Bonivento, Cesare Fantuzzi, Riccardo Rovatti. Fuzzy Logic Control, Advances in Methodology. World Scientific Publishing Co. Pte. Ltd, 1998.

共引文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部