Improvement of Activated Sludge Process Using Enhanced Nonlinear PI Controller

Samsudin, Sharatul Izah; Rahmat, M. F.; Wahab, Norhaliza Abdul; Razali, Mashitah Che; Gaya, Muhammad Sani; Salim, Syed Najib Syed

doi:10.1007/s13369-014-1285-2

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…The reduction was observed to be significant for the unconstrained case while values of 𝑡 𝑟 and 𝑡 𝑠 were effectively improved. Consequently, it can be stated that this study is in consistent with the previously reported studies [18][19][20][21][22] that indicated the effectiveness of incorporation of nonlinear gain function in significantly reducing the overshoot in the systems containing nonlinearities. This is due to the fact that the nonlinear gain function has the ability to minimize error and handle nonlinearities and uncertainties inherent in the system parameters, especially in real-time environment.…”

Section: Results and Analysissupporting

confidence: 92%

“…Furthermore, reduction was observed in operation time of the cylinder stroke to reach the steady-state value. Moreover, this effectively reduce the overshoot in performance of the system, while this has been proven in various applications such as in robotics, milling systems, activated sludge and wastewater treatment process [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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A new technique to reduce overshoot in pneumatic positioning system

et al. 2019

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This paper presents a new approach for improving the performance of the pneumatic positioning system by incorporating a nonlinear gain function with observer system. System identification technique has been employed to represent the pneumatic system, while a model predictive control (MPC) with the observer system has been employed as the main controller to control the positioning of the system. The nonlinear gain function has been incorporated with the control strategy to compensate nonlinearities and uncertainties inherent in the parameters of the system. Unconstrained and constrained cases of control signals have been considered in this study. Simulation based on Matlab/Simulink indicated a reduction in overshoot of the system response for both cases due to additional nonlinear gain function in the strategy. Furthermore, remarkable enhancement was observed in effectiveness of this function while incorporated in constrained case, when this new strategy successfully improved the transient response in the pneumatic positioning system.

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Section: Results and Analysissupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

A new technique to reduce overshoot in pneumatic positioning system

et al. 2019

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“…Compared to traditional manual operations, automated theory and control technology have become powerful tools and measures in wastewater treatment processes [124]. The application of self-control technology can save materials and energy more effectively, ultimately improving the stability of the system [125]. The instrumentation and automation of sewage treatment plants have become one of the major developments of the new water pollution control technology in the past decade.…”

Section: Components For Integrating Green Energy With Energy–efficmentioning

confidence: 99%

Integration of Green Energy and Advanced Energy-Efficient Technologies for Municipal Wastewater Treatment Plants

Guo

Sun

Pan

et al. 2019

IJERPH

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Wastewater treatment can consume a large amount of energy to meet discharge standards. However, wastewater also contains resources which could be recovered for secondary uses under proper treatment. Hence, the goal of this paper is to review the available green energy and biomass energy that can be utilized in wastewater treatment plants. Comprehensive elucidation of energy-efficient technologies for wastewater treatment plants are revealed. For these energy-efficient technologies, this review provides an introduction and current application status of these technologies as well as key performance indicators for the integration of green energy and energy-efficient technologies. There are several assessment perspectives summarized in the evaluation of the integration of green energy and energy-efficient technologies in wastewater treatment plants. To overcome the challenges in wastewater treatment plants, the Internet of Things (IoT) and green chemistry technologies for the water and energy nexus are proposed. The findings of this review are highly beneficial for the development of green energy and energy-efficient wastewater treatment plants. Future research should investigate the integration of green infrastructure and ecologically advanced treatment technologies to explore the potential benefits and advantages.

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“…Prior work in this area has been limited to the use of traditional control methods such as PI/PID control. Traditional approaches, such as PI/PID, have various drawbacks, including performance loss when applied to a highly nonlinear process (Aguilar-López et al, 2016) and the inability to meet the demand for high performance control as operating conditions vary (Samsudin et al, 2014). In light of these drawbacks, this research proposes a NN ABAC.…”

Section: Introductionmentioning

confidence: 99%

Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process

Husin

Rahmat

Wahab

et al. 2021

International Journal on Smart Sensing and Intelligent Systems

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Aeration control is a way to have a wastewater treatment plant (WWTP) that uses less energy and produces higher effluent quality to meet state and federal regulations. The goal of this research is to develop a neural network (NN) ammonia-based aeration control (ABAC) that focuses on reducing total nitrogen and ammonia concentration violations by regulating dissolved oxygen (DO) concentration based on the ammonia concentration in the final tank, rather than maintaining the DO concentration at a set elevated value, as most studies do. Simulation platform used in this study is Benchmark Simulation Model No. 1, and the NN ABAC is compared to the Proportional-Integral (PI) ABAC and PI controller. In comparison to the PI controller, the simulation results showed that the proposed controller has a significant improvement in reducing the AECI up to 23.86%, improving the EQCI up to 1.94%, and reducing the overall OCI up to 4.61%. The results of the study show that the NN ABAC can be utilized to improve the performance of a WWTP's activated sludge system.

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Improvement of Activated Sludge Process Using Enhanced Nonlinear PI Controller

Cited by 11 publications

References 15 publications

A new technique to reduce overshoot in pneumatic positioning system

A new technique to reduce overshoot in pneumatic positioning system

Integration of Green Energy and Advanced Energy-Efficient Technologies for Municipal Wastewater Treatment Plants

Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process

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