Volume 46 Issue 10
Oct.  2020
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LI Ting, WANG Xinmin, YANG Ting, et al. Fault-tolerant synchronization control for a dual redundant electro-hydraulic actuator system based on velocity estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(10): 1929-1940. doi: 10.13700/j.bh.1001-5965.2019.0564(in Chinese)
Citation: LI Ting, WANG Xinmin, YANG Ting, et al. Fault-tolerant synchronization control for a dual redundant electro-hydraulic actuator system based on velocity estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(10): 1929-1940. doi: 10.13700/j.bh.1001-5965.2019.0564(in Chinese)

Fault-tolerant synchronization control for a dual redundant electro-hydraulic actuator system based on velocity estimation

doi: 10.13700/j.bh.1001-5965.2019.0564
Funds:

National Natural Science Foundation of China 61703341

China Postdoctoral Science Foundation 2018M633576

Natural Science Basic Research Program of Shaanxi 2018JQ6008

Shannxi Province Postdoctoral Science Foundation 2018BSHYDZZ65

the Fundamental Research Funds for the Central Universities 3102019ZDHKY06

More Information
  • Corresponding author: WANG Xinmin, E-mail: wxmin@nwpu.edu.cn
  • Received Date: 02 Nov 2019
  • Accepted Date: 12 Jan 2020
  • Publish Date: 20 Oct 2020
  • Considering the fact that the piston velocity measurements of electro-hydraulic actuators are not available in practice, a fault-tolerant synchronization control strategy based on piston velocity estimation is proposed to deal with the positon tracking problem for a Dual Redundant Electro-Hydraulic Actuator System (DREHAS) suffering from Internal Leakage Common-Mode Fault (IL-CMF) and disturbances. First, by introducing two groups of reference trajectory and a linear transformation of the system states, the decoupling of the control surface position tracking and the two actuators output force synchronization control is realized. Second, an Adaptive Extended State Observer (AESO) is designed to estimate the piston rod velocities and disturbances of the two-channel actuators, which overcomes the inaccuracy of the estimation results of Extended State Observer (ESO) under fault condition. Finally, based on the state estimation and the online adaptation of faulty parameters, a nonlinear fault-tolerant synchronization controller is developed by employing backstepping method. Lyapunov stability analysis indicates that the proposed scheme can ensure that all the signals of the closed-loop system are bounded and the system can achieve a prescribed tracking performance under IL-CMF and time-varying disturbances. Moreover, the system tracking error converges to zero asymptotically in the present of IL-CMF and constant disturbances. A simulation experiment validates that the proposed control scheme is effective.

     

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