摘要：The control system is developed for accurate set-point control of dissolved oxygen concentration in industrial aeration tank based on adaptation of PI controller to time-varying dynamics of the controlled process. The controller adaptation algorithm refers to the process state model-based transfer function that follows changes in process dynamics by updating the function parameters with on-line measurements of process variables, and the controller tuning rules developed for typical structure transfer function models.The control system was investigated via computer simulation of the dissolved oxygen concentration set-point control in an industrial aeration tank under process disturbances and set-point step changes. The control system demonstrates fast adaptation of PI controller parameters and noticeably higher accuracy control compared to that of ordinary fixed gain PI controller.DOI: http://dx.doi.org/10.5755/j01.itc.41.1.921
关键词：mathematical model; adaptive control; dissolved oxygen concentration; wastewater treatment process
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