Abstract
The paper presents research with Predictive Functional Control (PFC) for fluid heating process. Two types of models are proposed and used as internal models for PFC algorithm. The first one includes all nonlinearities that are captured in the process, while the second one includes additionally time varying dead time. Both models were calibrated and verified using experimental data. The paper compares performance of two PFC versions based on mentioned models to indicate the profit of including dead time in model based predictive (MPC) control. Experimental results indicate that including dead time in controller’s internal model result in better performance. Although including varying dead time in controller requires extra programming effort and implementation considerations. All identification and control experiments, which are presented in the paper, were made using experimental installation equipped with industrial control equipment.
Highlights
Presented research was performed with an electric heater, which is the part of more complex process with heat distribution system [1] and hybrid exothermic reactor [2]
Predictive Functional Control (PFC) control algorithm is mentioned in survey paper [7] as an evolution of IDCOM algorithm [8] which is considered as a very first model predictive algorithm (MPC)
PFC control technique was designed to cope with the problem of significant time delay
Summary
Presented research was performed with an electric heater, which is the part of more complex process with heat distribution system [1] and hybrid exothermic reactor [2]. The nonlinear model-based control is often considered as one of the method which potentially may improve the closedloop control performance in industrial systems [3, 4] In this case Predictive Functional Control (PFC) algorithm was chosen to control fluid temperature because it has simple structure that enables implementation in standard automatic control equipment like Programmable Logic Controller (PLC). This algorithm was used successfully many times for heat transfer processes [5, 6]. The research presents how much control quality is levered when time delay is included in controller internal model
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
