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KMID : 1024519950040010071
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Journal of the Environmental Sciences
1995 Volume.4 No. 1 p.71 ~ p.80
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River Pollution Control Using Hierarchical Optimization Technique
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Kim Kyung-Youn
Kam Sang-Kyu
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Abstract
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A discrete state space model for a multiple-reach river system is formulated using the dynamics of biochemical oxygen demand(BOD) and dissolved oxygen(DO). A hierarchical optimization technique, which is applicable to large-scale systems with time-delays in states, is also described to control stream quality in a river as an optimal manner based on the interaction prediction method. The steady state tracking error of the proposed method is determined analytically and a necessary and sufficient condition on which a constant target tracking problem has zero steady-state error is derived. Computer simulations for the river pollution model illustrate the algorithm.
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KEYWORD
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Pollution control, Hierarchical optimization, Large-scale time-delay system, State space model, Steady-state error
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