A comparative study between Neural Networks (NN)-based and adaptive-PID controllers for the optimal bio-hydrogen gas production in microbial electrolysis cell reactor

• Main Authors: Azwar, M.Y., Hussain, Mohd Azlan, Wahab, Ahmad Khairi Abdul, Zanil, M.F.
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: TP Chemical technology
• Online Access: http://eprints.um.edu.my/14129/1/A_Comparative_study_between_Neural_Networks.pdf; http://eprints.um.edu.my/14129/

The main challenge of the hydrogen production study for the MEC reactor is to obtain a good automatic control system due to the nonlinearity and complexity of the microbial interactions. To address this issue an integrated approach involving process modeling, optimization and advanced control has to...