Research Article
Voltage Estimation of PH Meter Calibrator Using Integration of Kalman/FIR and R-T-S Smoothing Method
@INPROCEEDINGS{10.1007/978-3-030-94182-6_30, author={Wanjie Ren and Xia Li and Guoxing Hu and Rui Tuo and Chen Cai}, title={Voltage Estimation of PH Meter Calibrator Using Integration of Kalman/FIR and R-T-S Smoothing Method}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={KF/FIR R-T-S smoothing Voltage estimation}, doi={10.1007/978-3-030-94182-6_30} }- Wanjie Ren
Xia Li
Guoxing Hu
Rui Tuo
Chen Cai
Year: 2022
Voltage Estimation of PH Meter Calibrator Using Integration of Kalman/FIR and R-T-S Smoothing Method
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_30
Abstract
In order to further improve the accuracy of voltage estimation of PH meter calibrator, this paper introduce the scheme for the voltage estimation of PH meter calibrator using integration of Kalman filter (KF)/finite impulse response (FIR) filter and Rauch-Tung-Striebel (R-T-S) smoothing method. Firstly, the state-space for the voltage estimation is designed. Secondly, the integrated method of KF/FIR and R-T-S smoothing method is investigated. The proposed method employs the Kalman filter as the forward filter, as for the backward smoothing, the proposed R-T-S smoothing method is adopted. Then, the final estimation of the voltage is computed the average of the output of the KF/R-T-S smoothing-integrated method. By taking practical tests, the performance of the proposed integration of KF/FIR filter and R-T-S smoothing method is verified.
