Đăng nhập
Tìm kiếm nâng cao
Tên bài báo
Tác giả
Năm xuất bản
Tóm tắt
Lĩnh vực
Phân loại
Số tạp chí

Bản tin định kỳ
Báo cáo thường niên
Tạp chí khoa học ĐHCT
Tạp chí tiếng anh ĐHCT
Tạp chí trong nước
Tạp chí quốc tế
Kỷ yếu HN trong nước
Kỷ yếu HN quốc tế
Book chapter
Bài báo - Tạp chí
volume 953 (2019) Trang: pp. 331-343
Tạp chí: Advances in Intelligent Systems and Computing book series (AISC)

The paper presents an application of the Extended Kalman Filter (EKF) as an observer method to estimate the pressure in the operation area for the controlled process of minimally invasive surgery (MIS). Via trocars and pipes, the inflow and outflow of the rinsing fluid at the operation area are controlled by a double roller pump (DRP). Additionally, those flows are affected by the inside pressure of the pipes. The pressure sensor in the operation area is not allowed to utilize for surgery on the real patients at the current stage. Therefore, it is necessary to reconstruct the state of pressure in the operation area of MIS. The estimated pressure from the EKF estimator is used to replace the measured feedback signal to control the pump. The EKF worked based on the input signals of the rinsing fluid flows and the observable signal from available pressure sensors at the double roller pump. The proposed method was successfully implemented on MATLAB Simulink. For the further verification, it was also applied on the real device simulator environment. The results from the research show that the estimated pressure gives a high precision. In addition, the noises from the measured states are effectively eliminated.

Các bài báo khác
Số 25 (2013) Trang: 109-118
Tải về
Số 26 (2013) Trang: 71-79
Tải về
(2018) Trang: 658-662
Tạp chí: 4th International Conference on Green Technology and Sustainable Development (GTSD-2018); Ho Chi Minh City - Vietnam; November 23-24, 2018.

Vietnamese | English

Vui lòng chờ...