Hybrid dynamic control of a sewage sludge dewatering and incineration process

Steffen Ruppert, Christian Stöcker, Markus Koitka, Peter Schmittel, Julien Provost

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PublisherIEEE Computer Society
Pages451-457
Number of pages7
ISBN (Electronic)9781509067800
DOIs
StatePublished - 1 Jul 2017
Event13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China
Duration: 20 Aug 201723 Aug 2017

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2017-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference13th IEEE Conference on Automation Science and Engineering, CASE 2017
Country/TerritoryChina
CityXi'an
Period20/08/1723/08/17

Fingerprint

Dive into the research topics of 'Hybrid dynamic control of a sewage sludge dewatering and incineration process'. Together they form a unique fingerprint.

Cite this