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Feng, Shang
- A Cascaded Pushing Displacement Estimation Approach for Hydraulic Powered Roof Support based on Multi-Segmental Kalman Filter
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Authors
Affiliations
1 School of Mechanical and Electrical Engineering, Yangtze Normal University, Chongqing, 408100, CN
2 School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, CN
3 College of Mechanical & Electrical Engineering, Hohai University, Changzhou 213022, CN
1 School of Mechanical and Electrical Engineering, Yangtze Normal University, Chongqing, 408100, CN
2 School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, CN
3 College of Mechanical & Electrical Engineering, Hohai University, Changzhou 213022, CN
Source
Current Science, Vol 117, No 10 (2019), Pagination: 1585-1597Abstract
To tackle the problem of non-reusability of the magnetostrictive displacement sensor which is embedded in a pushing hydraulic cylinder, and improve the accuracy of pushing displacement sensing for hydraulic powered roof support, the compact self-contained inertial sensor is utilized in pushing displacement measurement. The motion characteristics of pushing operation are re-considered, and multi-segmental Kalman filter (MS-KF) is proposed based on the motion characteristics. A cascaded framework is constructed for pushing displacement estimation, and key technologies such as orientation estimation, segmental recognition and MS-KF implementation are demonstrated. The experiment is elaborated and experimental results show that the proposed approach significantly reduces the cumulative error and proves to be practical and valuable.Keywords
Inertial Sensor, Hydraulic Support, Pushing Displacement, Kalman Filter.Full Text
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