Neutralization process control using an adaptive fuzzy controller

Controlling of neutralization processes is a classical problem beyond many common control techniques available today due to their strong nonlinearity and extreme sensitivity to disturbances. This paper proposes an adaptive fuzzy control scheme for wastewater neutralization process control. A standar...

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Bibliographic Details
Main Authors: Wan, Feng, Shang, Huilan, Wang, Li-Xin, Sun, You-Xian
Format: Conference Proceeding
Language:English
Subjects:
Adaptative systems
Adaptive control
Applied sciences
Computational modeling
Computer science
control theory
systems
Control system synthesis
Control theory. Systems
Electrical equipment industry
Exact sciences and technology
Fuzzy control
Fuzzy systems
Industrial control
Least squares methods
Pollution
Process control
Process control. Computer integrated manufacturing
Programmable control
Wastewater
Wastewaters
Water treatment and pollution
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Summary:Controlling of neutralization processes is a classical problem beyond many common control techniques available today due to their strong nonlinearity and extreme sensitivity to disturbances. This paper proposes an adaptive fuzzy control scheme for wastewater neutralization process control. A standard Mamdani type fuzzy system is constructed to describe the nonlinearity of the process and the parameters in the fuzzy system are tuned online using the least square algorithm with deadzone. The controller is designed based on the fuzzy model and the control action is computed by exploiting the special features of the fuzzy system. Simulation results are given in control of the acidity in the continuous flow of an industrial wastewater treatment system.
ISSN:0743-1619
2378-5861
DOI:10.23919/ACC.2004.1386836