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Automatic proportioning system for indium electrolyte based on single neuron PID

Published: 15 March 2023 Publication History

Abstract

To address the problem that indium electrolyte needs to be manually proportioned and diluted several times during indium ion concentration measurement, this paper uses a single-neuron adaptive PID control algorithm, with STM32 as the core controller to study and design an automatic proportioning system for indium metal electrolyte. The control result of single-neuron PID is quantified by using pulse width modulation technique, and the PWM control signal is generated by the output of STM32. This signal is amplified by the speed regulation circuit and used to control the gear pump for pumping and proportioning. Experimental results show that the average error of the proportioning is only 0.35 ml, and the accuracy can reach 99.96%, which realizes the high-precision automatic proportioning and improves the efficiency of indium ion concentration measurement.

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EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2023

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Author Tags

  1. Indium ion
  2. Proportioning system
  3. STM32
  4. Single neuron PID

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EITCE 2022

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Overall Acceptance Rate 508 of 972 submissions, 52%

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