Mathematical Model of the System for Monitoring and Diagnosing the State of the Cotton picker by Complex Technological Parameters

Authors

  • Erkin Uljaev, Husan Zakirovich Igamberdiev, Utkirjon Ubaydullev Murodillaevich, Sobirjon Mengqobilovich Sherqobilov

Abstract

The article discusses a method of constructing a mathematical model of a system for monitoring and diagnosing the state of a cotton-picking machine by its complex technological parameters. To carry out diagnostics of the reliability of work, it is proposed to use Boolean algebra as a mathematical apparatus. The main controlled units and technological parameters that determine the quality of harvesting and productivity are selected. To create a mathematical model, truth tables are constructed that reflect the dependences of the states of the output parameters in the automaton on the states of the input controlled parameters and its internal states. As a result of a series of transformations, elements of the diagnosis are shown in a more compact form depending on the average speed of rotation of a group of spindles, fans and other parameters of the cotton picker on their input conditions. General Boolean functions — mathematical models of diagnoses describing an unsatisfactory and satisfactory condition in terms of complex parameters, are written in disjunctive and conjunctive normal form (DCNF).

Keywords: Spindle group, stripper, fan, mathematical model, Boolean function, control, diagnostics, object, cotton picker, sensors, complex parameters, automatic machine, performance, quality.

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Published

2020-05-09

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Section

Articles