A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant
The application of control strategies in wastewater treatment plants has increased to improve their performance for treating influent. The fuzzy logic controller plays a vital role in this work and simulation work was carried out in a benchmark simulation model no.1 (BSM1) framework. The attempted w...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IWA Publishing
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/bddcfa7f217248139ff1ecc1b89f6865 |
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| Sumario: | The application of control strategies in wastewater treatment plants has increased to improve their performance for treating influent. The fuzzy logic controller plays a vital role in this work and simulation work was carried out in a benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on five inputs and six outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation in 2014a. HIGHLIGHTS
Novel control schemes with minimum number of measurements for a BSM1 plant.;
Removal of effluent ammonia violation with minimum aeration energy usage.;
Control techniques to improve effluent quality using Fuzzy and PI algorithms.;
Effective control schemes to protect the environment.; |
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