TY - GEN
T1 - Estimated Load Signal Processing Method for Hydro-Mechanical Loaders Based on Mathematical Morphology Theory
AU - Chu, Jiehao
AU - Yang, Shujun
AU - Shi, Zhengxu
AU - Peng, Zengxiong
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - The hydro-mechanical continuously variable transmission (HMT) loader has high transmission efficiency and large transmission power. Its vehicle speed is decoupled from the engine speed and has high control freedom, but it has the problem of poor load signal quality caused by harsh working environment and high dynamic. In order to solve the above problems, a HMT loader is taken as the research object, the theoretical analysis and simulation research of load estimation are carried out based on hydro-mechanical state parameters. The simulation results show that the method can accurately estimate the load in hydro-mechanical range, and the error is within ± 5.58%. Based on the load estimation method, the actual load of the loader is simulated by the superposition of Gaussian white noise based random excitation of the pavement. In order to eliminate the influence of the random excitation of the pavement in the actual load, the mathematical morphology theory is introduced, the real-time morphological filtering formula is derived, and a load signal processing method based on mathematical morphology is proposed. The simulation results show that the method can filter the actual estimated load in real time, improve the signal quality, reduce the misjudgment of the loader working status, and have better real-time performance with a signal delay of 0.13 s.
AB - The hydro-mechanical continuously variable transmission (HMT) loader has high transmission efficiency and large transmission power. Its vehicle speed is decoupled from the engine speed and has high control freedom, but it has the problem of poor load signal quality caused by harsh working environment and high dynamic. In order to solve the above problems, a HMT loader is taken as the research object, the theoretical analysis and simulation research of load estimation are carried out based on hydro-mechanical state parameters. The simulation results show that the method can accurately estimate the load in hydro-mechanical range, and the error is within ± 5.58%. Based on the load estimation method, the actual load of the loader is simulated by the superposition of Gaussian white noise based random excitation of the pavement. In order to eliminate the influence of the random excitation of the pavement in the actual load, the mathematical morphology theory is introduced, the real-time morphological filtering formula is derived, and a load signal processing method based on mathematical morphology is proposed. The simulation results show that the method can filter the actual estimated load in real time, improve the signal quality, reduce the misjudgment of the loader working status, and have better real-time performance with a signal delay of 0.13 s.
KW - Hydro-mechanical continuously variable transmission
KW - Load estimation
KW - Loader
KW - Mathematical morphology
KW - Signal processing
UR - http://www.scopus.com/inward/record.url?scp=85215764226&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-3005-6_8
DO - 10.1007/978-981-97-3005-6_8
M3 - Conference contribution
AN - SCOPUS:85215764226
SN - 9789819730049
T3 - Lecture Notes in Electrical Engineering
SP - 113
EP - 131
BT - Smart Transportation and Green Mobility Safety - Smart Transportation
A2 - Wang, Wuhong
A2 - Lu, Guangquan
A2 - Si, Yihao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022
Y2 - 16 September 2022 through 18 September 2022
ER -