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

doi:10.1016/j.cjche.2021.03.057

Chinese Journal of Chemical Engineering ›› 2021, Vol. 40 ›› Issue (12): 149-159.DOI: 10.1016/j.cjche.2021.03.057

• Process Systems Engineering and Process Safety • Previous Articles Next Articles

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

Gabriel Khew Mun Hong¹, Mohd Azlan Hussain^1,3, Ahmad Khairi Abdul Wahab^2,3

1. Department of Chemical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia;
2. Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia;
3. Centre for Separation Science and Technology (CSST), Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia

Received:2020-05-26 Revised:2021-03-23 Online:2022-01-14 Published:2021-12-28
Contact: Ahmad Khairi Abdul Wahab,E-mail:khairi@um.edu.my
Supported by:
This work was supported by the UMRG RP006H-13ICT Project, University of Malaya, Malaysia. The computational facilities and technical guidance from the respective academic staffs from the Department of Chemical Engineering and Biomedical Engineering, Faculty of Engineering, University of Malaya are highly appreciated.

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

Gabriel Khew Mun Hong¹, Mohd Azlan Hussain^1,3, Ahmad Khairi Abdul Wahab^2,3

1. Department of Chemical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia;
2. Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia;
3. Centre for Separation Science and Technology (CSST), Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia

通讯作者: Ahmad Khairi Abdul Wahab,E-mail:khairi@um.edu.my
基金资助:
This work was supported by the UMRG RP006H-13ICT Project, University of Malaya, Malaysia. The computational facilities and technical guidance from the respective academic staffs from the Department of Chemical Engineering and Biomedical Engineering, Faculty of Engineering, University of Malaya are highly appreciated.

Abstract

Abstract: 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.

Key words: Fuzzy logic control, Process control, Nonlinear, Microbial electrolysis cell, Renewable energy, Hydrogen

摘要： 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.

关键词: Fuzzy logic control, Process control, Nonlinear, Microbial electrolysis cell, Renewable energy, Hydrogen

Gabriel Khew Mun Hong, Mohd Azlan Hussain, Ahmad Khairi Abdul Wahab. Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and storage[J]. Chinese Journal of Chemical Engineering, 2021, 40(12): 149-159.

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

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

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