Chu Zhenzhong, Meng Fei, Zhu Daqi, Luo Chaomin
College of Information Engineering, Shanghai Maritime University, Shanghai, China.
Department of System Science, University of Shanghai for Science and Technology, Shanghai, China.
ISA Trans. 2020 Feb;97:67-75. doi: 10.1016/j.isatra.2019.07.024. Epub 2019 Jul 19.
This study focuses on the fault reconstruction for a class of second-order multi-input and multi-output (MIMO) nonlinear systems with uncertainties. An innovative design scheme of terminal sliding mode observer (TSMO) is presented for which the relative degree of the system is two. In comparison with the common sliding mode observer (SMO), the proposed TSMO can converge all state estimation errors to zero in finite time, even when some states cannot be measured directly. Given that state estimation errors converge to zero in finite time, a fault reconstruction method based on an equivalent output error injection concept and a SMO-based fault isolation strategy are presented, so that the fault information after isolating disturbances can be accurately known. Simulation examples of fault reconstruction on a small unmanned underwater vehicle are presented to demonstrate the effectiveness of the proposed method.
本研究聚焦于一类具有不确定性的二阶多输入多输出(MIMO)非线性系统的故障重构。针对系统相对阶数为二的情况,提出了一种创新的终端滑模观测器(TSMO)设计方案。与普通滑模观测器(SMO)相比,所提出的TSMO即使在某些状态无法直接测量时,也能在有限时间内将所有状态估计误差收敛到零。鉴于状态估计误差在有限时间内收敛到零,提出了一种基于等效输出误差注入概念的故障重构方法和一种基于SMO的故障隔离策略,以便在隔离干扰后能准确获知故障信息。给出了小型无人水下航行器故障重构的仿真示例,以证明所提方法的有效性。