Published: CABEQ 22 (1) (2008) 71–79
Paper type: Original Scientific Paper
R. Aguilar-López
Abstract
The main issue of this paper is the design of a class of SISO robust control law for
the regulation of dissolved oxygen (DO) of an industrial Activated Sludge Wastewater
Plant via the air flow rate (non-affine control input). The control design is related with an
uncertainty estimator (reduced order observer) based Generic Model Control (GMC).
The desired dissolved oxygen trajectory is proposed as a Proportional-Integral (PI) form
of the regulation error and the modeling error related with the respiration rate and the
oxygen mass transfer coefficient are on-line estimated with a reduced order observer,
these structures produce a feedback/feed forward regulator which is robust against model uncertainties and disturbances. The system’s closed-loop behavior is analyzed via the estimation error and regulation error dynamics. The performance of the proposed control law is illustrated with numerical simulations, comparing the proposed controller with a well-tuned PI controller.
This work is licensed under a Creative Commons Attribution 4.0 International License
Keywords
Aerobic process, DO regulation, Generic Model Control, uncertainty estimation, robust performance