Full Text:   <6065>

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CLC number: TP271.3

On-line Access: 2016-01-05

Received: 2015-06-01

Revision Accepted: 2015-10-26

Crosschecked: 2015-12-09

Cited: 1

Clicked: 7030

Citations:  Bibtex RefMan EndNote GB/T7714


Qi-yan Tian


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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.1 P.55-66


Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter

Author(s):  Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo

Affiliation(s):  State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   jhfang@zju.edu.cn

Key Words:  Cutting system, Electro-hydraulic system, Cutting velocity control, Adaptive fuzzy integral sliding mode control

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.

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%T Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter
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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
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DOI - 10.1631/FITEE.15a0160

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.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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