Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural network

Le, Duc Hanh, Nguyen, Bao Kha, Ahn, Kyoung Kwan and Jo, Woo Keun (2009) Trajectory control of electro-hydraulic excavator using fuzzy self tuning algorithm with neural network. Journal of Mechanical Science and Technology, 23 (1). pp. 149-160. ISSN 1738-494X

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Abstract

This paper presents the trajectory control of a 2DOF mini electro-hydraulic excavator by using fuzzy self tuning with neural network algorithm. First, the mathematical model is derived for the 2DOF mini electro-hydraulic excavator. The fuzzy PID and fuzzy self tuning with neural network are designed for circle trajectory following. Its two links are driven by an electric motor controlled pump system. The experimental results demonstrated that the proposed controllers have better control performance than the conventional controller.

Item Type: Article
Keywords: Intelligent control Trajectory following control Fuzzy self tuning control Fuzzy PID control
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
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Depositing User: Bao Kha Nguyen
Date Deposited: 17 Jul 2017 10:44
Last Modified: 17 Jul 2017 10:44
URI: http://sro.sussex.ac.uk/id/eprint/69293
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