Neural network controller for pH neutralization process
A method of pH control for a neutralization process made use of Artificial Neural Network (ANN) to enhance a PID control. This Neuro-PID controller trained ANN based on control errors. The performance of the Neuro-PID controller was studied and evaluated by simulation, and its performance was compar...
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Main Authors: | , , |
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Format: | text |
Published: |
Animo Repository
2003
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/9380 |
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Institution: | De La Salle University |
Summary: | A method of pH control for a neutralization process made use of Artificial Neural Network (ANN) to enhance a PID control. This Neuro-PID controller trained ANN based on control errors. The performance of the Neuro-PID controller was studied and evaluated by simulation, and its performance was compared with that of the conventional PID controller during actual experimentation. The simulation results showed that the Neuro-PID controller controlled the pH at a desired setpoint with a better performance than the conventional PID controller. Thus, the Neuro-PID controller could be used as an effective alternative to conventional process control techniques in the nonlinear, rapidly changing pH system. |
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