Title :
Two-time scales matrix decomposition for wastewater treatment plant
Author :
Samsudin, S.I. ; Rahmat, M.F. ; Wahab, N.A. ; Zulfatman ; Mirin, S.N.S. ; Razali, M.C.
Author_Institution :
Dept. of Ind. Electron., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
Abstract :
The purpose of this work is to identify two-time scales matrix decomposition of wastewater treatment plant. Wastewater plant is naturally aim to remove suspended substances, organic material and phosphate before releasing to recipients. Initially, the MIMO system is excited with generalized binary noise signals and estimated with robust numerical subspace state-space system identification. The performance of identified models is then validated by variance accounted for. Next, the block diagonalisation procedures are implemented in decoupling the system with two-time property into slow and fast subsystem. It was observed that the identified model possess two-time scales behavior´s presented by separated clusters of eigenvalues. Besides, similar dynamic responses were obtained by decoupled systems compared to actual full model at lower frequency that is highly demanded in control design application. The study leads to future improvement on wastewater control strategies.
Keywords :
eigenvalues and eigenfunctions; industrial plants; matrix decomposition; wastewater; wastewater treatment; MIMO system; block diagonalisation procedures; eigenvalues; multiple input multiple output wastewater system; organic material removal; phosphate removal; suspended substances removal; two-time scales matrix decomposition; wastewater treatment plant; Benchmark testing; Biological system modeling; Eigenvalues and eigenfunctions; Estimation; MIMO; Wastewater; Wastewater treatment; MIMO subspace identification; two-time scales decomposition; wastewater treatment plant;
Conference_Titel :
Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
Conference_Location :
Melaka
Print_ISBN :
978-1-4673-0960-8
DOI :
10.1109/CSPA.2012.6194747