دورية أكاديمية
Optimization of electrochemical parameters in microbial fuel cell system based on Fuzzy-PID and CMAC neural network
| العنوان: | Optimization of electrochemical parameters in microbial fuel cell system based on Fuzzy-PID and CMAC neural network |
|---|---|
| المؤلفون: | Fu, Chengcai, Ma, Fengying |
| المصدر: | Journal of Electrochemical Science and Engineering ; ISSN 1847-9286 (Online) ; Volume 9 ; Issue 2 |
| بيانات النشر: | International Association of Physical Chemists |
| سنة النشر: | 2019 |
| المجموعة: | Hrčak - Portal of scientific journals of Croatia / Portal znanstvenih časopisa Republike Hrvatske |
| مصطلحات موضوعية: | Microbial fuel cells, electrochemical parameters, fuzzy optional algorithm, CMAC neural network |
| الوصف: | Due to the extensive application prospects on wastewater treatment and new energy development, microbial fuel cells (MFCs) have gained more and more attention by many scholars all over the world. The bioelectrochemical reaction in MFC system is highly complex, serious nonlinear and time-delay dynamic process, in which the optimal control of electrochemical parameters is still a considerable challenge. A new optimal control scheme for MFC system which combines proportional integral derivative (PID) controller with parameters fuzzy optional algorithm and cerebellar model articulation controller (CMAC) neural network was proposed. The simulation results demonstrate that the proposed control scheme has rapider response, better control effect and stronger anti-interference ability than Fuzzy PID controller by taking constant voltage output of MFC under the different load disturbances as example. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://hrcak.srce.hr/217622Test |
| الإتاحة: | https://doi.org/10.5599/jese.636Test https://hrcak.srce.hr/217622Test https://hrcak.srce.hr/file/317573Test |
| حقوق: | info:eu-repo/semantics/openAccess ; Journal of Electrochemical Science and Engineering (jESE) publishes articles under the Creative Commons Attribution License. This means that all articles published by jESE, including data, graphics tables and supplement materials, can be reused by other autors, linked on websites, crawled by search engines, or reused by blogs. , free of charge under the sole condition of proper accreditation of the source and the original Publisher. jESE believes that open access publishing can foster the exchange of research results amongst electrochemists world-wide, including from developing countries, as well as to an interested general public. We believe that open access is an enriching part of the science communication that could and should co-exist with all other forms of communication and publication. |
| رقم الانضمام: | edsbas.BE6915D8 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |