| Citation: | QIN Yufeng, SHI Xianjun, ZHAI Yuyao, et al. Fault estimation method based on adaptive super-twisting sliding mode observer and unknown input observer[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(12): 2253-2263. doi: 10.13700/j.bh.1001-5965.2019.0631(in Chinese)
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For the problem of fault estimation with unknown disturbance, a fault estimation method based on Adaptive Super-Twisting Sliding Mode Observer (ASTSMO) and Unknown Input Observer (UIO) is proposed. This method does not require that the upper bound of fault derivative is known, which avoids the problem of sliding-mode gain overestimation in the existing adaptive algorithms, and is able to handle simultaneous faults of multiple actuators. First, the original system is degraded to two subsystems by non-singular transformation, one of which is only affected by the fault, and the other subsystem contains both fault and uncertain interference. ASTSMO and UIO are designed for two subsystems respectively, and the error of the system of finite time convergence condition has been carried on the proof. At the same time, the initial value of sliding-mode gain and the design method of time-varying gain are given. Then, based on the concept of equivalent control, the fault is detected and estimated. Finally, a simulation example is given to verify the effectiveness of the proposed fault estimation method.
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