Model Validation and Real-Time Process Control of a Continuous Flow Ohmic Heater

Author:

Oluwole-ojo Oluwaloba1ORCID,Javed Tasmiyah1,Howarth Martin1,Xu Xu2ORCID,O’Brien Alexander1,Zhang Hongwei1ORCID

Affiliation:

1. National Centre of Excellence for Food Engineering, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK

2. Department of Computer Science, The University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, UK

Abstract

Ohmic heating is a highly efficient method for rapid fluid heating, with applications in fields such as food processing, pharmaceuticals, and chemical engineering. Prior to its industrial application, thorough analysis and modeling are crucial to ensure safe and efficient operations. Therefore, this research focuses on the development and validation of a transfer function-based model for a continuous flow ohmic heater (CFOH). Validation metrics include root mean square error (RMSE) and mean absolute percentage error (MAPE). The developed model achieves an RMSE of ±1.48 and a MAPE of ±2.58% compared to experimental results, demonstrating its accuracy. Furthermore, the research presents the implementation of robust real-time applications of advanced process controllers, including PID, MPC, and AMPC. These controllers were first simulated using the developed model and subsequently deployed in the pilot plant ohmic heater system to achieve precise temperature control and optimised input voltage. The reliability of this procedure was affirmed through a comparison between simulated results and empirical data obtained from the CFOH pilot plant. The study concludes by suggesting potential applications in fault diagnosis, educational training, system identification, and controller design.

Funder

EU Horizon 2020 SUSFOOD 2 MEFPROC project

Publisher

MDPI AG

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