Fuzzy sliding mode control of flight simulator servo system with disturbance compensation

被引：0
|
作者：
Liu H.-B. [1 ,2 ]
Liu S.-L. [2 ]
机构：
[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing
[2] School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou
来源：
Liu, Shang-Lei | 2018年 / Editorial Department of Electric Machines and Control卷 / 22期
关键词：
Disturbance compensation; Flight simulator servo system; Fuzzy control; Integral sliding mode control; Nonlinear disturbance observer;
D O I：
10.15938/j.emc.2018.08.015
中图分类号：
学科分类号：
摘要：
An fuzzy integral sliding mode control strategy with disturbance compensation was proposed regarding the flight simulator servo system with uncertainty which includes friction and model errors. First, a nonlinear disturbance observer was designed to assess the compound disturbance existing in the system and compensated the disturbance with the evaluated values of nonlinear disturbance observer. Second, a switching function was devised with integral terms for the integral sliding mode. Introduction of integral terms enhances the static performance of the system. The switching function was considered the input to design single-input fuzzy controller, then the number of fuzzy rules were lowered. The simulation results show that this control strategy greatly improves the control performance and anti-interference ability. It also effectively reduces system chattering caused by sliding mode. © 2018, Harbin University of Science and Technology Publication. All right reserved.
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页码：113 / 118
页数：5
相关论文
共 21 条
  • [1] Niu J., Fu Y., Liu H., Adaptive compound control method for the three-axis flight simulator, Electric Machines and Control, 12, 5, (2008)
  • [2] Liu Q., Feng S., Er L., Novel adaptive sliding mode control scheme of high precision mechanical servo system, Control Theory & Applications, 21, 2, (2004)
  • [3] Liu B., Wu Y., Huang Y., Research of adaptive backstepping sliding mode controller based on fuzzy disturbance observer, Journal of System Simulation, 23, 8, (2011)
  • [4] Chen S., Shan M., Wang L., Disturbance observer-based robust perfect tracking control for flight simulator, Electric Machines and Control, 1, (2015)
  • [5] Zhao R., Wang W., Friction compensation of a flight simulator based on disturbance observers and neural networks, 2013 International Conference on Natural Computation, 23, 1, pp. 205-209, (2013)
  • [6] Dong X., Wu Y., Xiao S., Et al., Global sliding mode control based on disturbance observer for motor servo system and application to flight simulator, 20146th IEEE Chinese Guidance, Navigation and Control Conference, pp. 370-375, (2014)
  • [7] Liu Y., Deng Y., Tian D., Compound disturbance observer for flight simulator, 2012 Asia Simulation Conference and the International Conference on System Simulation and Scientific Computing, 325, pp. 197-205, (2012)
  • [8] Yu W., Ma J., Li J., Et al., Friction parameter identification and friction compensation for precision servo turning table, Optics and Precision Engineering, 19, 11, (2011)
  • [9] Li F., Hu J., Zheng L., Et al., Optimal design of backstepping sliding control for flight simulator servo systems, Small & Special Electrical Machines, 43, 4, (2015)
  • [10] Wu Y., Liu B., Zhang W., Et al., Adaptive backstepping sliding mode controller for flight simulator based on RBFNN, International Journal of Modeling, Simulation, and Scientific Computing, 4, 4, (2013)
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