Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and storage

Hong, Gabriel Khew Mun and Hussain, Mohd Azlan and Wahab, Ahmad Khairi Abdul (2021) Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and storage. Chinese Journal of Chemical Engineering, 40. pp. 149-159. ISSN 1004-9541, DOI https://doi.org/10.1016/j.cjche.2021.03.057.

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This work presents the implementation of fuzzy logic control (FLC) on a microbial electrolysis cell (MEC). Hydrogen has been touted as a potential alternative source of energy to the depleting fossil fuels. MEC is one of the most extensively studied method of hydrogen production. The utilization of biowaste as its substrate by MEC promotes the waste to energy initiative. The hydrogen production within the MEC system, which involves microbial interaction contributes to the system's nonlinearity. Taking into account of the high complexity of MEC system, a precise process control system is required to ensure a well-controlled biohydrogen production flow rate and storage application inside a tank. Proportional-derivative-integral (PID) controller has been one of the pioneer control loop mechanism. However, it lacks the capability to adapt properly in the presence of disturbance. An advanced process control mechanism such as the FLC has proven to be a better solution to be implemented on a nonlinear system due to its similarity in human-natured thinking. The performance of the FLC has been evaluated based on its implementation on the MEC system through various control schemes progressively. Similar evaluations include the performance of Proportional-Integral (PI) and PID controller for comparison purposes. The tracking capability of FLC is also accessed against another advanced controller that is the model predictive controller (MPC). One of the key findings in this work is that the FLC resulted in a desirable hydrogen output via MEC over the PI and PID controller in terms of shorter settling time and lesser overshoot. (C) 2021 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights reserved.

Item Type: Article
Funders: Universiti Malaya[UMRG RP006H-13ICT]
Uncontrolled Keywords: Fuzzy logic control;Process control;Nonlinear;Microbial electrolysis cell;Renewable energy;Hydrogen
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Divisions: Faculty of Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 17 Oct 2022 05:52
Last Modified: 17 Oct 2022 05:52
URI: http://eprints.um.edu.my/id/eprint/35286

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