CLC number: TP271.3
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-12-09
Cited: 1
Clicked: 8019
Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo. Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(1): 55-66.
@article{title="Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter",
author="Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="1",
pages="55-66",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.15a0160"
}
%0 Journal Article
%T Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter
%A Qi-yan Tian
%A Jian-hua Wei
%A Jin-hui Fang
%A Kai Guo
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 1
%P 55-66
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.15a0160
TY - JOUR
T1 - Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter
A1 - Qi-yan Tian
A1 - Jian-hua Wei
A1 - Jin-hui Fang
A1 - Kai Guo
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 1
SP - 55
EP - 66
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.15a0160
Abstract: This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter’s dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity controller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.
This is an interesting work of the application of AFISMC to a practical system. It contains both theoretical analysis and experimental validation. The paper was generally well written and the derivation seems correct.
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