Title :
Dynamic process control for in-situ bioremediation system
Author :
Hu, Zhiying ; Chan, Christine W. ; Huang, Gordon H.
Author_Institution :
Fac. of Eng., Regina Univ., Sask., Canada
Abstract :
This study describes the development of a dynamic predictive control system for the in-situ bioremediation process that not only optimizes the complex physical, chemical, and biological processes involved in the remediation process but also minimizes overall cost of the entire remediation process. The control system includes the optimization tool which consists of two parts, the simulation tool and the decision-making tool. Bioplume III has been used as the simulation tool. The decision-making tool includes a multi-criteria nonlinear optimization function, and genetic algorithm has been used to solve this nonlinear function. The result of a lab experiment indicates that this control system can generate the proper control strategy and adjusts control rules dynamically.
Keywords :
biological techniques; biotechnology; decision making; decision support systems; decontamination; environmental engineering; genetic algorithms; pollution control; predictive control; process control; Bioplume III simulation tool; biological processes; chemical processes; control strategy; control system optimization tool; decision-making tool; dynamic predictive control system; dynamic process control; dynamically adjusted control rules; genetic algorithm; in-situ bioremediation process; in-situ bioremediation system; multi-criteria nonlinear optimization function; overall process cost; physical processes; process optimization; remediation process; Biological processes; Biological system modeling; Chemical processes; Control system synthesis; Control systems; Cost function; Decision making; Genetic algorithms; Predictive control; Process control;
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
Print_ISBN :
0-7803-8253-6
DOI :
10.1109/CCECE.2004.1349659
