학술논문

Boundary-Based Predictive Controller and Its Application to Control of Dissolved Oxygen Concentration in Activated Sludge Bioreactor
Document Type
Periodical
Source
IEEE Transactions on Industrial Electronics IEEE Trans. Ind. Electron. Industrial Electronics, IEEE Transactions on. 69(10):10541-10551 Oct, 2022
Subject
Power, Energy and Industry Applications
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Process control
Predictive models
Computational modeling
Control systems
Adaptation models
Switches
Load modeling
Adaptive control
control of dissolved oxygen (DO)
model-based predictive control
practical validation
programmable logic controller (PLC)-based implementation
Language
ISSN
0278-0046
1557-9948
Abstract
This article presents the concept of boundary-based predictive controller (BBPC) as an effective tool to control industrial processes with on--off actuator, for which the control goal is defined to keep the process output within the desired range. An example use of BBPC is shown in application to control of dissolved oxygen (DO) concentration in the laboratory activated sludge setup with biological reactor. It is suggested how to identify dynamical parameters of the proposed DO concentration model and how to provide adaptability required to ensure desired control performance in the presence of significant changes of process load disturbance. Practical implementation in programmable logic controller in the form of a general purpose library function block is also presented. Experimental comparison with conventional on–off controller shows robustness and superiority of the proposed BBPC.