2013 18th International Conference on Methods &Amp; Models in Automation &Amp; Robotics (MMAR) 2013
DOI: 10.1109/mmar.2013.6669887
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Fuzzy logic-based adaptive control system prototypying for laboratory scaled overhead crane

Abstract: The prototyping process of a fuzzy logic-based antisway control scheme for the laboratory scaled overhead crane is described. The software-hardware equipment of control system, as well as the contact and contactless techniques of sway angle of a payload sensing which have been implemented on the laboratory stand are presented. Proposed anti-sway control system is based on a set of the linear controllers determined at the selected operating points using a pole placement method (PPM) and the fuzzy interpolation … Show more

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Cited by 7 publications
(13 citation statements)
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“…In [15] and [16] an adaptive fuzzy controller for 3D Crane was designed. The results were simulated with varying length of flexible-wire of the load as well with different masses.…”
Section: Electrical Control and Communication Engineeringmentioning
confidence: 99%
“…In [15] and [16] an adaptive fuzzy controller for 3D Crane was designed. The results were simulated with varying length of flexible-wire of the load as well with different masses.…”
Section: Electrical Control and Communication Engineeringmentioning
confidence: 99%
“…Planar models are used most frequently. They are used also in articles [2][3][4][5][6][7][8][9][10][11][12]. They are relatively simple and provide usable results.…”
Section: Introductionmentioning
confidence: 99%
“…Approaches to measuring the angle of vibration are generally discussed in [1]. Specific solutions for the laboratory crane are described in [2,3,5] and [8]. An innovative approach to estimate the vibration angle of load without measurement is given in [5].…”
Section: Introductionmentioning
confidence: 99%
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