Elsevier

Fuzzy Sets and Systems

Volume 118, Issue 1, 16 February 2001, Pages 99-108
Fuzzy Sets and Systems

Application of fuzzy control for a hydraulic forging machine

https://doi.org/10.1016/S0165-0114(98)00464-3Get rights and content

Abstract

Most metal-forming processes are non-linear, non-stationary and time-variant. Nonetheless, linear controllers or LTI-control systems are used for many of these processes. Because of their simplicity of application, fuzzy controllers have recently been implemented for many industrial processes in Europe, in Japan and in the USA. Fuzzy control may be characterized as an approach using controllers which can be designed without a mathematical model of the process and which are inherently non-linear. Fuzzy control is based on a priori expert knowledge which can be described in the form of a language.

This paper discusses one application of fuzzy control, an adaptive fuzzy controller for a hydraulic forging machine which minimizes geometrical and material defects of the workpiece by controlling the servo valve and the pump power. The paper describes the use of the fuzzy controller with two processes, upsetting and thixoforging. The design procedure for the controller and experimental results are discussed.

References (6)

  • G. Hirt, R. Cremer, A. Winkelmann, T. Witulski, M. Zillgen, SSM – forming of usually wrought aluminium alloys, Proc....
  • Y.-H. Lee, A. Lieb, H. Wiegels, R. Kopp, Application of fuzzy logic to control a forging machine, Stahl u. Eisen 114...
  • E.H. Mamdani, Application of fuzzy logic to approximate reasoning using linguistic synthesis, IEEE Trans. Computers...
There are more references available in the full text version of this article.

Cited by (36)

  • A survey on industrial applications of fuzzy control

    2011, Computers in Industry
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    Process industries include Mamdani fuzzy control. The applications reported in this context tackle the control of furnaces [66,67], filtration processes [68], air conditioning [69,70], heat exchangers [71] or forging machines [72]. Control systems should exhibit generally very good steady-state, dynamic performance and robustness as well.

  • Modelling of palm oil production using fuzzy expert system

    2009, Expert Systems with Applications
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    Mamdani fuzzy logic expert system has been applied in the area of production optimisation and control in the food processing industries as well as other industries. For example, application of fuzzy expert control for hydraulic forging machine (Lee & Kopp, 2001) and twin extruder machine (Lee, Hong, Han, Kang, & Kwon, 2002). Peres, Guerra, Alique and Ros (1999) also developed fuzzy control model for milling process optimisation and Vagelatos, Rigatos, and Tzafestas (2001) developed fuzzy control model for optimising the injection molding process.

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Present address: Kangnam University, Department of Electronic Engineering, San 6-2, Kugal-Ri, Kiheung-Eup, Yongin-Shi, Kyungki-Do, 449-702, South Korea.

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