Force tracking control for electrohydraulic servo system based on adaptive neuro-fuzzy inference system (ANFIS) controller
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 12 January 2021
Issue publication date: 4 March 2021
Abstract
Purpose
The purpose of this paper is to apply a intelligent algorithm to conduct the force tracking control for electrohydraulic servo system (EHSS). Specifically, the adaptive neuro-fuzzy inference system (ANFIS) is selected to improve the control performance for EHSS.
Design/methodology/approach
Two types of input–output data were chosen to train the ANFIS models. The inputs are the desired and actual forces, and the output is the current. The first type is to set a sinusoidal signal for the current to produce the actual driving force, and the desired force is chosen as same as the actual force. The other type is to give a sinusoidal signal for the desired force. Under the action of the PI controller, the actual force tracks the desired force, and the current is the output of the PI controller.
Findings
The models built based on the two types of data are separately named as the ANFIS I controller and the ANFIS II controller. The results reveal that the ANFIS I controller possesses the best performance in terms of overshoot, rise time and mean absolute error and show adaptivity to different tracking conditions, including sinusoidal signal tracking and sudden change signal tracking.
Originality/value
This paper is the first time to apply the ANFIS to optimize the force tracking control for EHSS.
Keywords
Acknowledgements
This work was supported by the National Key R&D Program of China “The study on Load-bearing and Moving Support Exoskeleton Robot Key Technology and Typical Application” (2017YFB1300502).This work is also supported by the National Natural Science Foundation of China “Research on gait detection and recognition technology of Parkinson's disease based on all-fiber composite sensors” under Grant 61903280, and Hubei Key Laboratory of Digital Textile Equipment Open fund “Research on intelligent monitoring clothing based on micro-nano fiber composite sensor” under Grant DTL2019011.
Citation
Yu, L., Ding, L., Yu, F., Zheng, J. and Tian, Y. (2021), "Force tracking control for electrohydraulic servo system based on adaptive neuro-fuzzy inference system (ANFIS) controller", International Journal of Intelligent Computing and Cybernetics, Vol. 14 No. 1, pp. 1-16. https://doi.org/10.1108/IJICC-09-2020-0132
Publisher
:Emerald Publishing Limited
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