Abstract
One of the most crucial controls applied in chemical process industries is the pH neutralization process control. In various chemical industries such as pharmaceuticals, purification industries, waste vascular plant, biotechnology, organic chemistry processes, and mechanical engine's cooling system, pH control are extremely tough because due to the high nonlinearity and time varied of pH scale of the plant dynamics, pH control is the key challenge of the pH scale management systems. The pH neutralization process control cannot be effectively controlled using a conventional linear P + I + D controller. Ultimately, paper presents the comparative analysis of the control performance of advanced approaches, namely conventional PID controller, Smith predictor controller, fuzzy logic controller, and internal model control (IMC). The fuzzy logic controller has found the best control alternative among the applied control strategy for the unsteady-state pH process. The pH process is performed in a continuous-stirred tank reactor (CSTR), and its real-time implementation is performed in Simulink using MATLAB.
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Patel, A.K., Prasad, M.P.R. (2023). Implementation of Intelligent Control for pH Neutralization Process. In: Manik, G., Kalia, S., Verma, O.P., Sharma, T.K. (eds) Recent Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2188-9_71
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DOI: https://doi.org/10.1007/978-981-19-2188-9_71
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