TY - GEN
T1 - Hybrid dynamic control of a sewage sludge dewatering and incineration process
AU - Ruppert, Steffen
AU - Stöcker, Christian
AU - Koitka, Markus
AU - Schmittel, Peter
AU - Provost, Julien
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - This paper deals with the automatic setting of setpoints for physically interconnected decentralized control loops in dependence upon the overall plant operating mode, denoted as high-level control. In the last two decades, a lot of effort has been spent on the development of such control concepts which are almost exclusively based on online-optimization, like Model Predictive Control (MPC). The application of these optimization based control approaches at a real plant is cost-intensive and, therefore, economically viable for large-scale processes only. However, in the process industry there is also a need for high-level control concepts for less sophisticated processes, which are characterized by a weak meshing of the decentralized control loops. This paper proposes a new hybrid dynamic controller for the automatic setpoint setting for an industrial sewage sludge dewatering and incineration process and compares its behavior with an MPC in a simulation study. The investigation shows that the hybrid controller yields good results by adapting the setpoints to different plant operation modes and, moreover, even approximates the behavior of the MPC with appropriate accuracy. This example illustrates the great potential of the proposed approach for industrial applications where cost efficiency and effortless maintenance are important.
AB - This paper deals with the automatic setting of setpoints for physically interconnected decentralized control loops in dependence upon the overall plant operating mode, denoted as high-level control. In the last two decades, a lot of effort has been spent on the development of such control concepts which are almost exclusively based on online-optimization, like Model Predictive Control (MPC). The application of these optimization based control approaches at a real plant is cost-intensive and, therefore, economically viable for large-scale processes only. However, in the process industry there is also a need for high-level control concepts for less sophisticated processes, which are characterized by a weak meshing of the decentralized control loops. This paper proposes a new hybrid dynamic controller for the automatic setpoint setting for an industrial sewage sludge dewatering and incineration process and compares its behavior with an MPC in a simulation study. The investigation shows that the hybrid controller yields good results by adapting the setpoints to different plant operation modes and, moreover, even approximates the behavior of the MPC with appropriate accuracy. This example illustrates the great potential of the proposed approach for industrial applications where cost efficiency and effortless maintenance are important.
UR - http://www.scopus.com/inward/record.url?scp=85044977252&partnerID=8YFLogxK
U2 - 10.1109/COASE.2017.8256146
DO - 10.1109/COASE.2017.8256146
M3 - Conference contribution
AN - SCOPUS:85044977252
T3 - IEEE International Conference on Automation Science and Engineering
SP - 451
EP - 457
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -