Gao Haidong, Yang Min, Wei Dongbo, et al. Detector pose measurement and correction methods for FPD-based cone-beam XCT system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(12): 1657-1660. (in Chinese)
Citation: Wang Yan, Fu Yongling. Application of fuzzy sliding mode iterative learning control algorithm in hydraulic servo system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(01): 86-89. (in Chinese)

Application of fuzzy sliding mode iterative learning control algorithm in hydraulic servo system

  • Received Date: 23 Feb 2006
  • Publish Date: 31 Jan 2007
  • The common P(proportion) type or PD(proportion and differential) type ILC(iterative learning control) is difficult to apply in a hydraulic servo syste m because of its low convergence rate. To improve the convergence rate, a new IL C based on a sliding mode fuzzy control is presented which combines a sliding mo de control with ILC. The new algorithm makes use of the fast response merit of a sliding mode control to quicken the convergence of ILC. The fuzzy control in th e algorithm can smooth the control signal and lessen the common dithering of sli ding mode control. The FSMILC(fuzzy sliding mode iterative learning control) is an iterative learning control algorithm essentially, which takes the function of a sliding mode control as the input of fuzzy control and takes the fuzzy contro l output as the control increment of iterative learning control. The simulation results indicate that the new algorithm is effective, which can achieve higher s peediness than that of iterative learning control of P type or PD type.

     

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