An Integerated Estimation and Control Scheme for Piece-Wise Linear Systems using Neural Networks

1990 ◽  
Author(s):  
A. M. Elramsisi ◽  
M. A. Zohdy ◽  
M. S. Fadali
Keyword(s):  
Neural Networks ◽  
Linear Systems ◽  
Control Scheme ◽  
Estimation And Control ◽  
And Control

scholarly journals Control and estimation of anaerobic digestion processes using hydrogen and volatile fatty acids measurements

2018 ◽  
Vol 78 (10) ◽  
pp. 2027-2035 ◽  
Author(s):  
M. Sbarciog ◽  
G. Giovannini ◽  
R. Chamy ◽  
A. Vande Wouwer
Keyword(s):  
Fatty Acids ◽  
Anaerobic Digestion ◽  
Hydrogen Concentration ◽  
Volatile Fatty Acids ◽  
Control Structure ◽  
Tight Control ◽  
Detailed Model ◽  
Control Scheme ◽  
Estimation And Control ◽  
And Control

Abstract The anaerobic digestion (AD) technology is widely used in the treatment of waste and wastewater. To ensure the treatment efficiency and to increase the production of biogas, which can be reused as a renewable energy source, a good understanding of the process and tight control are needed. This paper presents an estimation and control scheme, which can be successfully used in the operation of the AD process. The process is simulated by the ADM1 model, the most complex and detailed model developed so far to characterize AD. The controller and the observer, which provides estimates of the unmeasurable variables needed in the computation of the control law, are designed based on a simplified model developed in a previous work. Since it has been shown that hydrogen concentration is an accurate and fast indicator of process stability, it was chosen as controlled variable. Aside from the hydrogen concentration, the only measurement employed by the proposed control structure is the volatile fatty acids concentration. Simulation results prove the effectiveness of the proposed control structure.

Artificial neural networks in process estimation and control

Automatica ◽  
1992 ◽  
Vol 28 (6) ◽  
pp. 1181-1187 ◽  
Author(s):  
M.J. Willis ◽  
G.A. Montague ◽  
C. Di Massimo ◽  
M.T. Tham ◽  
A.J. Morris
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural ◽  
Estimation And Control ◽  
And Control
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