Dissolved oxygen control of activated sludge biorectors using neural-adaptive control

Mirghasemi, Seyedhossein; Macnab, C.J.B.; Chu, Angus

doi:10.1109/cica.2014.7013237

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…A fuzzy logic controller can be used to control the DO concentration in an activated sludge process [9] and SBR water treatment process [10]. Another approach like a heuristic method such as neuraladaptive control is applied to control the DO of activated sludge bioreactors in [11]. Then, a nonlinear control is implemented to control the DO rate of Pseudomonas Putida bacterium fermentation in [12].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation

Natan

Gunawan

Dewantara

2019

emitter

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Maintaining the water quality of a pond is one of the main issues on aquaculture management. Water quality represents the condition of a pond based on several water parameters such as dissolved oxygen (DO), temperature, pH, and salinity. All of these parameters need to be strictly supervised since it affects the life-sustainability of cultivated organisms. However, DO is said to be the main parameter since it affects the growth and survival rate of the shrimp. Therefore, a water quality control and monitoring system is needed to maintain water parameters at acceptable value. The system is developed on a mini-PC and microcontroller which are integrated with several sensors and actuator forming an embedded system. Then, this system is used to collect water quality data that is consisting of several water parameters and control the DO as the main parameter. In accordance with the stability needs against the sensitive environment, a fuzzy logic-based controller is developed to maintain the DO rate in the water. This system is also equipped with SIM800 module to notice the farmer by SMS, built-in wifi module for web-based data logging, and improved with Android-based graphical user interface (GUI) to perform user-friendly monitoring. From the experiment results, a fuzzy controller that is attached to the system can control the DO at the acceptable value of 6 ppm. The controller is said to have high robustness since its deviation for long-time use is only 0.12 ppm. Another test shows that the controller is able to overcome the given disturbance and easily adapt when the DOâ€™s set point is changed. Â Finally, the system is able to collect and store the data into cloud storage periodically and show the data on a website.

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Section: Related Workmentioning

confidence: 99%

Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation

Natan

Gunawan

Dewantara

2019

emitter

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“…An improved multi objective optimal control (MOOC) strategy is developed to improve the operational efficiency, satisfy the effluent quality (EQ) and reduce the energy consumption (EC) in wastewater treatment process [11]. Mirghasemi proposed a robust adaptive neural network control strategy and used it to control the dissolved oxygen in activated sludge process application [12].…”

Section: Introductionmentioning

confidence: 99%

Auto-Control Technique Using Gradient Method Based on Radial Basis Function Neural Networks to Control of an Activated Sludge Process of Wastewater Treatment

Lemita¹,

Boulahbel²,

Kahla³

et al. 2020

JESA

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Dissolved oxygen (DO) concentration is a key variable in the activated sludge wastewater treatment processes. In this paper, an auto control strategy based on Euler method and gradient method with radial basis function (RBF) neural networks (NNs) is proposed to solve the DO concentration control problem in an activated sludge process of wastewater treatment. The control purpose is to maintain the dissolved oxygen concentration in the aerated tank for having the substrate concentration within the standard limits established by legislation of wastewater treatment. For that reason, a new proposed control strategy based on gradient descent method and RBF neural network has been used. Compared with RBF neural network PI control, the obtained results show the effectiveness in terms of both transient and steady performances of proposed control method for dissolved oxygen control in the activated sludge wastewater treatment processes.

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“…Nevertheless, controllers are required to maintain an optimum setpoint, regardless of the changes in the operating point. This type of control strategies have also been proposed, including adaptive [5,6], predictive [7,8], fuzzy [9] or fractional order PID control [10].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical predictive control of Wastewater Treatment Plants

Nașcu

2018

MATEC Web Conf.

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This paper investigates the performance of a new predictive control approach used to improve the energy efficiency and effluent quality of a conventional Wastewater Treatment Plant (WWTP). A twolayer hierarchical control structure is proposed: process control as a lower layer and a higher layer of optimization. The Activated Sludge Process (ASP) optimization using the proposed approach provides an improved aeration system efficiency to reduce energy costs while maintaining the quality parameters of the effluent. The control strategy is evaluated by performing simulations and analyzing the results. The regulatory performances have been tested and the effects of several tuning parameters are investigated.

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Dissolved oxygen control of activated sludge biorectors using neural-adaptive control

Cited by 9 publications

References 14 publications

Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation

Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation

Auto-Control Technique Using Gradient Method Based on Radial Basis Function Neural Networks to Control of an Activated Sludge Process of Wastewater Treatment

Hierarchical predictive control of Wastewater Treatment Plants

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