Takagi-Sugeno Fuzzy Approach with Compressed Representation for Overhead Crane System

نویسندگان

چکیده

This paper proposes a Takagi-Sugeno (TS) fuzzy approach for 2-dimensional of freedom overhead crane. Since this system is underactuated with nonlinear mathematical dynamic model, the requirement achieving accurate positioning while eliminating oscillation challenging issue. The sector decomposition taken into implementation which uses terms in model as scheduling variables to transform initial TS representation. However, number rules exponential elements system, leading increase computational expense. Therefore, reduced complexity method introduced minimize system. In addition, uncertain system’s components are also consideration enhance robust property when working practical environment. controller constructed based on parallel distributed compensation (PDC) linear matrix inequalities (LMIs) technique employed analyse stability. effectiveness proposed demonstrated through numeral simulations.

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ژورنال

عنوان ژورنال: JST: Smart Systems and Devices

سال: 2022

ISSN: ['2734-9373']

DOI: https://doi.org/10.51316/jst.160.ssad.2022.32.3.6