Zhu Li, Huang Cong, Shi Quan, Gao Ruifeng, Ping Peng
School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.
Haian Institute of High-Tech Research, Nanjing University, Nanjing 226600, China.
Sensors (Basel). 2024 Mar 20;24(6):1967. doi: 10.3390/s24061967.
In this article, the issue of joint state and fault estimation is ironed out for delayed state-saturated systems subject to energy harvesting sensors. Under the effect of energy harvesting, the sensors can harvest energy from the external environment and consume an amount of energy when transmitting measurements to the estimator. The occurrence probability of measurement loss is computed at each instant according to the probability distribution of the energy harvesting mechanism. The main objective of the addressed problem is to construct a joint state and fault estimator where the estimation error covariance is ensured in some certain sense and the estimator gain is determined to accommodate energy harvesting sensors, state saturation, as well as time delays. By virtue of a set of matrix difference equations, the derived upper bound is minimized by parameterizing the estimator gain. In addition, the performance evaluation of the designed joint estimator is conducted by analyzing the boundedness of the estimation error in the mean-squared sense. Finally, two experimental examples are employed to illustrate the feasibility of the proposed estimation scheme.
在本文中，针对受能量收集传感器影响的时滞状态饱和系统，解决了联合状态与故障估计问题。在能量收集的作用下，传感器能够从外部环境收集能量，并在将测量值传输给估计器时消耗一定量的能量。根据能量收集机制的概率分布，计算每个时刻测量值丢失的发生概率。所解决问题的主要目标是构建一个联合状态与故障估计器，在某种特定意义下确保估计误差协方差，并确定估计器增益以适应能量收集传感器、状态饱和以及时间延迟。借助一组矩阵差分方程，通过对估计器增益进行参数化，使导出的上界最小化。此外，通过分析估计误差在均方意义下的有界性，对所设计的联合估计器进行性能评估。最后，通过两个实验示例来说明所提出估计方案的可行性。
