Control Optimisation of Overhead Gantry Cranes via Fuzzy Controllers

Control Optimisation of Overhead Gantry Cranes via Fuzzy Controllers

Ashwani Kharola
ISBN13: 9781799849391|ISBN10: 1799849392|EISBN13: 9781799849407
DOI: 10.4018/978-1-7998-4939-1.ch014
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MLA

Kharola, Ashwani. "Control Optimisation of Overhead Gantry Cranes via Fuzzy Controllers." Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering, edited by Leonid Burstein, IGI Global, 2021, pp. 302-321. https://doi.org/10.4018/978-1-7998-4939-1.ch014

APA

Kharola, A. (2021). Control Optimisation of Overhead Gantry Cranes via Fuzzy Controllers. In L. Burstein (Ed.), Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering (pp. 302-321). IGI Global. https://doi.org/10.4018/978-1-7998-4939-1.ch014

Chicago

Kharola, Ashwani. "Control Optimisation of Overhead Gantry Cranes via Fuzzy Controllers." In Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering, edited by Leonid Burstein, 302-321. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-4939-1.ch014

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Abstract

This study considers a fuzzy logic-based reasoning approach for control and optimising performance of overhead gantry crane. The objective of this study is to minimise load swing and to stabilise the crane in the least possible time. The fuzzy controllers were designed using nine Gaussian and triangular shape membership functions. The results clearly confirmed the effect of shape of memberships on performance of fuzzy controllers. Performance of overhead crane was measured in terms of settling time and overshoot ranges. The study also demonstrates the influence of varying mass of the load, mass of crane, and length of crane bar on stability of the crane. A mathematical model of the crane system has been derived to develop a simulink model of proposed system and performing simulations.

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