TY - GEN
T1 - Adaptive Robust Command Filtered Control in Separate Meter-In and Separate Meter-Out Control System
AU - Niu, Shanshuai
AU - Wang, Junzheng
AU - Zhao, Jiangbo
AU - Shen, Wei
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - To achieve energy saving of electro-hydraulic servo systems (EHSS), a separate meter-in and separate meter-out (SMISMO) control system is designed using two servo valves. An adaptive robust command filtered control (ARCFC) method is proposed for SMISMO system, which combines adaptive robust control (ARC) with command filtered control (CFC). ARC is used to deal with parameter uncertainty and unknown disturbances, and CFC is introduced to deal with’explosion of terms’ problem while compensating the filter errors in backstepping design process to reduce calculation. Comparative experiments show that the SMISMO system with ARCFC controller can realize the same high-precision control as the conventional electro-hydraulic system (CES), or even better, while achieving about 2/3 energy-saving.
AB - To achieve energy saving of electro-hydraulic servo systems (EHSS), a separate meter-in and separate meter-out (SMISMO) control system is designed using two servo valves. An adaptive robust command filtered control (ARCFC) method is proposed for SMISMO system, which combines adaptive robust control (ARC) with command filtered control (CFC). ARC is used to deal with parameter uncertainty and unknown disturbances, and CFC is introduced to deal with’explosion of terms’ problem while compensating the filter errors in backstepping design process to reduce calculation. Comparative experiments show that the SMISMO system with ARCFC controller can realize the same high-precision control as the conventional electro-hydraulic system (CES), or even better, while achieving about 2/3 energy-saving.
KW - Adaptive robust control
KW - Command filtered control
KW - Separate meter-in and separate meter-out
UR - http://www.scopus.com/inward/record.url?scp=85152618437&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0923-0_85
DO - 10.1007/978-981-99-0923-0_85
M3 - Conference contribution
AN - SCOPUS:85152618437
SN - 9789819909223
T3 - Lecture Notes in Electrical Engineering
SP - 858
EP - 868
BT - Proceedings of International Conference on Image, Vision and Intelligent Systems, ICIVIS 2022
A2 - You, Peng
A2 - Li, Heng
A2 - Chen, Zhenxiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Image, Vision and Intelligent Systems, ICIVIS 2022
Y2 - 15 August 2022 through 17 August 2022
ER -