Smart Monitoring and Auto-Neutralization of pH of Alkaline Liquids in Process Industries

Srinivasan, K.; Harikrishnan, V.; Venkatesh, R.S. Vinoth; Gowtham, S.

doi:10.1109/icssa.2018.8535950

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Ambientes industriais em sua maioria oferecem riscos aos operadores, seja em atividades de produção ou manutenção. Com o objetivo de minimizar esses riscos, há trabalhos que desenvolvem soluções robóticas para substituir o ser humano na realização de tarefas [Lee et al 2015]; outros, apresentam técnicas de projeto para minimizar riscos em ambientes com alta periculosidade [Parikh et al 2011, Srinivasan et al 2018, Leon-Rodriguez et al 2013.…”

Section: Ambientes Insalubres Em Processos Produtivos Industriaisunclassified

Cinemática Inversa Aplicada a Manipulador Robótico a Partir de Coordenadas Capturadas pelo Microsoft Kinect

Batista¹

2020

Anais Da VIII Escola Regional De Informática De Goiás (ERI-GO 2020)

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Em muitos processos produtivos industriais, os operadores das plantas industriais normalmente são expostos a riscos que podem comprometer a saúde e a segurança no trabalho. Este artigo apresenta uma proposta de sistema para mitigação desses riscos, utilizando manipulador robótico associado ao Microsoft Kinect, que é empregado de forma a obter as coordenadas cartesianas das articulações do braço do operador e, remotamente, aplicando cinemática inversa, atuar em um manipulador robótico que realiza o trabalho do operador e, minimizar potenciais riscos. Observou-se que o braço robótico apresentou resultado satisfatório nos quesitos de tempo de resposta e posicionamento, entretanto melhorias são necessárias na estabilidade.

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Section: Ambientes Insalubres Em Processos Produtivos Industriaisunclassified

Cinemática Inversa Aplicada a Manipulador Robótico a Partir de Coordenadas Capturadas pelo Microsoft Kinect

Batista¹

2020

Anais Da VIII Escola Regional De Informática De Goiás (ERI-GO 2020)

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“…It can be seen from the figure that when the pH value is low or high, the change is very slow, as shown in points a and b. When the pH value is about 7, a slight change in the neutralizer added causes a significant change in the pH value, as shown in point c. Because of the strong nonlinearity and large time lag characteristics of the pH neutralization process, the control of pH is considered one of the most difficult problems in the field of process control due to its high nonlinearity [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An Improved Method of Model-Free Adaptive Predictive Control: A Case of pH Neutralization in WWTP

Li¹,

Tang²,

Luan³

et al. 2023

Processes

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pH neutralization reaction process plays a crucial role in Waste Water Treatment Process (WWTP). Traditional PID Proportion Integral Differential, (or even advanced PID control) algorithms have poor performance on WWTP due to the strong non-linearity, large time lag, and large inertia characteristics of pH neutralization. Therefore, finding a superior control method to maintain the pH value of wastewater within the normal range will greatly help to improve the efficiency and effectiveness of wastewater treatment. The chemical reaction mechanism of pH neutralization reaction process is first analyzed, and a mechanistic model of pH neutralization reaction process is developed based on the reaction of ions during acid-alkali neutralization and the electric balance equation. Then, combining the characteristics of generalized predictive control and Model-Free Adaptive Control (MFAC), a Model-Free Adaptive Predictive Control (MFAPC) method based on compact format dynamic linearization is introduced. An Improved Model Free Adaptive PI Predictive Control algorithm (IMFAPC) with proportional (P) and integral (I) algorithms is proposed to further improve the control performance. IMFAPC is proposed on the basis of MFAPC, combining the advantages of generalized predictive control, introducing a PI module consisting of error and error sum, and predicting the PI module, making it possible to produce more accurate constraints on the control inputs, avoiding increasing errors, and improving the control effect of delayed systems at the same time. pH neutralization process simulation experimental results show that compared with the ordinary Model-Free Adaptive Control (MFAC) and MFAPC, the IMFAPC control algorithms has the best performance in terms of accuracy, overshoot, and the robustness.

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A predictive control based on decentralized fuzzy inference for a pH neutralization process

Yan

Wang

et al. 2022

Journal of Process Control

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Smart Monitoring and Auto-Neutralization of pH of Alkaline Liquids in Process Industries

Cited by 4 publications

References 6 publications

Cinemática Inversa Aplicada a Manipulador Robótico a Partir de Coordenadas Capturadas pelo Microsoft Kinect

Cinemática Inversa Aplicada a Manipulador Robótico a Partir de Coordenadas Capturadas pelo Microsoft Kinect

An Improved Method of Model-Free Adaptive Predictive Control: A Case of pH Neutralization in WWTP

A predictive control based on decentralized fuzzy inference for a pH neutralization process

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