Document Type
Conference Item
Publication Date
6-1-2015
Abstract
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 be implemented. This work focus on the controller’s performance in the control system; neural network (NN)-based and Adaptive-PID controllers. The study has been carried out under optimal condition for the production of bio-hydrogen gas wherein the controller output are based on the correlation of the optimal current and voltage to the MEC. A Ziegler–Nichols tuning method and an adaptive gain technique have been used to design the PID controller, while the neural network controller has been designed from the inverse response of the MEC neural network model.
Keywords
Bio-hydrogen gas, microbial electrolysis cell, neural network-based controller, adaptive-PID controller
Divisions
fac_eng
Event Title
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering
Event Location
Copenhagen, Denmark
Event Dates
31 May – 4 June 2015
Event Type
conference