Decentralized adaptive PI with adaptive interaction algorithm of wastewater treatment plant

Wastewater treatment plant (WWTP) is highly known with the variation and uncertainty of the parameters, making them a challenge to be tuned and controlled. In this paper, an adaptive decentralized PI controller is developed for nonlinear activated sludge WWTP. The work is highlighted in auto-tuning...

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Bibliographic Details
Main Authors: Rahmat, Mohd Fua'ad (Author), Samsudin, Sharatul Izah (Author), Abdul Wahab, Norhaliza (Author), Che Razali, Mashitah (Author), Gaya, Muhammad Sani (Author)
Format: Article
Language:English
Published: Penerbit UTM, 2014.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Rahmat, Mohd Fua'ad  |e author 
700 1 0 |a Samsudin, Sharatul Izah  |e author 
700 1 0 |a Abdul Wahab, Norhaliza  |e author 
700 1 0 |a Che Razali, Mashitah  |e author 
700 1 0 |a Gaya, Muhammad Sani  |e author 
245 0 0 |a Decentralized adaptive PI with adaptive interaction algorithm of wastewater treatment plant 
260 |b Penerbit UTM,   |c 2014. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/52290/1/Mohd.Fua%27adRahmat2014_DecentralizedadaptivePI.pdf 
520 |a Wastewater treatment plant (WWTP) is highly known with the variation and uncertainty of the parameters, making them a challenge to be tuned and controlled. In this paper, an adaptive decentralized PI controller is developed for nonlinear activated sludge WWTP. The work is highlighted in auto-tuning the PI control parameters in satisfying straighten effluent quality and hence optimizing the nitrogen removal. The PI controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. The error function is minimized directly by approximate Frechet tuning algorithm without explicit estimation of the model. The effectiveness of the proposed controller is then validated by comparing the performance of activated sludge process to the benchmark PI under three different weather conditions with realistic variations in influent flow rate and composition. The algorithm is effectively applied in activated sludge system with improved dynamic performances in effluent quality index and energy consumed of Benchmark Simulation Model No.1 
546 |a en 
650 0 4 |a TK Electrical engineering. Electronics Nuclear engineering