TY - GEN
T1 - Research on intelligent engine control of unmanned tracked vehicle based on position electronic governor
AU - Ye, Kunhong
AU - Chen, Huiyan
AU - Zhang, Ruizeng
AU - Liao, Junbo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/27
Y1 - 2020/11/27
N2 - In order to adapt to the development of the ground unmanned vehicle, the paper studies the matching problem of the engine during the steering process of the unmanned vehicle, and proposes an coordinated control strategy of engine during the vehicle steering process based on the independent design of the engine position-type electronic governor. In this paper, the GMM-HMM model is built to predict the steering mode of the unmanned vehicle, and then, the steering load identification and the parameters of the engine controller are adjusted in advance to improve the performance of engine response. Meanwhile, the GMR model is used to estimate the vehicle steering radius and the steering load. In the process of switching the vehicle's steering mode, the engine controller responds to the demand for the speed control based on the steering load to reduce the disturbance of the vehicle speed during the steering process. The test results show that the engine controller has fastness, stability and resistance to load disturbances for meeting the requirements of unmanned tracked vehicles to the engine response, and the proposed coordinated control strategy can effectively reduce the speed disturbance and increase the stability of steering in the steering process.
AB - In order to adapt to the development of the ground unmanned vehicle, the paper studies the matching problem of the engine during the steering process of the unmanned vehicle, and proposes an coordinated control strategy of engine during the vehicle steering process based on the independent design of the engine position-type electronic governor. In this paper, the GMM-HMM model is built to predict the steering mode of the unmanned vehicle, and then, the steering load identification and the parameters of the engine controller are adjusted in advance to improve the performance of engine response. Meanwhile, the GMR model is used to estimate the vehicle steering radius and the steering load. In the process of switching the vehicle's steering mode, the engine controller responds to the demand for the speed control based on the steering load to reduce the disturbance of the vehicle speed during the steering process. The test results show that the engine controller has fastness, stability and resistance to load disturbances for meeting the requirements of unmanned tracked vehicles to the engine response, and the proposed coordinated control strategy can effectively reduce the speed disturbance and increase the stability of steering in the steering process.
KW - Electronic governor
KW - Engine coordinated control strategy
KW - Load identification
KW - Unmanned tracked vehicle
UR - https://www.scopus.com/pages/publications/85098937615
U2 - 10.1109/ICUS50048.2020.9274835
DO - 10.1109/ICUS50048.2020.9274835
M3 - Conference contribution
AN - SCOPUS:85098937615
T3 - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
SP - 389
EP - 394
BT - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Unmanned Systems, ICUS 2020
Y2 - 27 November 2020 through 28 November 2020
ER -