Ramadan Mohamad, Abdollahi Farzaneh
Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran; Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, Canada.
ISA Trans. 2023 Sep;140:183-197. doi: 10.1016/j.isatra.2023.06.006. Epub 2023 Jun 10.
In this paper, a novel nonlinear observer-based approach is established to cast light on the problem of isolating sensor faults from un-stealthy attacks for Lipschitz affine nonlinear systems subjected to unknown uncertainties and disturbances. A structure consisting of a multi-line transmission mechanism, a random number generator (RNG), and Dedicated Observer Scheme is developed to make the abnormal behaviors distinguishable. A group of two interlinked nonlinear Luenberger-Like observers is designed in nonlinear coordinates to detect abnormal behaviors. Two banks of detection observers and an incidence matrix are introduced to make the final decisions. Adaptive threshold techniques are exploited to guarantee the robustness against the model uncertainties and disturbances. Compared with the existing results, the proposed approach isolates the abnormal behaviors without the need for any redundant hardware components. Finally, the performance of the proposed approach is evaluated on a continuous stirred tank reactor (CSTR).
本文建立了一种基于非线性观测器的新颖方法，以阐明对于受未知不确定性和干扰影响的Lipschitz仿射非线性系统，如何将传感器故障与非隐秘攻击隔离开来。开发了一种由多线传输机制、随机数发生器（RNG）和专用观测器方案组成的结构，以使异常行为可区分。在非线性坐标中设计了一组两个相互关联的类Luenberger非线性观测器来检测异常行为。引入两组检测观测器和一个关联矩阵来做出最终决策。利用自适应阈值技术来保证对模型不确定性和干扰的鲁棒性。与现有结果相比，所提出的方法无需任何冗余硬件组件即可隔离异常行为。最后，在连续搅拌釜式反应器（CSTR）上评估了所提出方法的性能。
