Next Article in Journal
Information Processing by Symmetric Inductive Turing Machines
Previous Article in Journal
Surface and Groundwater Quality in South African Area—Analysis of the Most Critical Pollutants for Drinking Purposes
Open AccessProceedings

PI Tuning of a Multivariable Activated Sludge Process with Nitrification and Denitrification with Multi-Objective Optimization

1
Industrial and Systems Engineering Graduate Program (PPGEPS), Pontificia Universidade Católica do Paraná (PUCPR), Rua Imaculada Conceição 1155, CEP 80215 901, Brazil
2
Departamento de Ingeniería Geomática e Hidráulica, División de Ingenierías, Campus Guanajuato, Universidad de Guanajuato. Av. Juárez 77, Zona Centro, C.P. 36000, Guanajuato, Gto., Mexico
*
Author to whom correspondence should be addressed.
Presented at the 4th International Electronic Conference on Water Sciences, 13–29 November 2019; Available online: https://ecws-4.sciforum.net/.
Proceedings 2020, 48(1), 4; https://doi.org/10.3390/ECWS-4-06434
Published: 13 May 2020
(This article belongs to the Proceedings of The 4th International Electronic Conference on Water Sciences)
Wastewater treatment plants (WWTPs) are responsible for attenuating the environmental impact that waste in effluent discharged to receiving waters has. As a consequence of this, new techniques for an effective control are valuable, not just for minimising this impact, but also for minimising operational costs by using energy efficiently. Such kinds of problems, with several objectives to fulfil (and usually in conflict), are termed as multi-objective problems. Within this context, multi-objective optimisation techniques have been shown to be a valuable tool in the control engineering field to tune different kinds of controller for complex systems. To accomplish this, a simultaneous optimisation approach is carried out, in order to approximate a set of Pareto-optimal solutions. Such solutions differ in the level of trade-off exhibited in two (or more) conflicting objectives. The multi-objective approach for controller tuning in one-input/one-output processes is well documented in the literature. Nevertheless, that is not the case of multivariable control. This fact is mainly due to the quantity of design objectives required to evaluate the multi-objective performance of several outputs. In this work, we elaborate a proposal to handle multi-objective problems for multivariable processes. Performance evaluation is performed (via simulation) in a multivariable benchmark for the PI control of an activated sludge process with nitrification and denitrification.
Keywords: PI control; multivariable process; multi-objective optimization PI control; multivariable process; multi-objective optimization
MDPI and ACS Style

Reynoso-Meza, G.; Carreño-Alvarado, E.P. PI Tuning of a Multivariable Activated Sludge Process with Nitrification and Denitrification with Multi-Objective Optimization. Proceedings 2020, 48, 4.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop