scholarly journals Comparison of PFC Controllers for Heating Process

2019 ◽  
Vol 95 ◽  
pp. 03005
Author(s):  
Piotr Laszczyk
Keyword(s):  
Experimental Data ◽  
Internal Model ◽  
Dead Time ◽  
Heating Process ◽  
Time Varying ◽  
Industrial Control ◽  
Predictive Functional Control ◽  
Programming Effort ◽  
Functional Control ◽  
And Control

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.

Higher Order Predictive Functional Control Versus Dynamical Matrix Control for a Milk Pasteurisation Process: Transfer Function Versus Finite Step Response Internal Models

2013 ◽  
Vol 10 (1) ◽  
pp. 17-27 ◽  
Author(s):  
Tarek Mohamed Khadir ◽  
John Vincent Ringwood
Keyword(s):  
Internal Model ◽  
Industrial Applications ◽  
Higher Order ◽  
Step Response ◽  
Dynamical Matrix ◽  
First Order ◽  
Predictive Functional Control ◽  
Functional Control ◽  
Milk Pasteurisation ◽  
Matrix Control

Abstract Predictive functional control (PFC), a model predictive control algorithm, has been proven to be very successful in a wealth of industrial applications due to its many laudable attribute, such as its simplicity and intuitive appeal. For simple single input single output processes, PFC applications use a first-order plus delay internal model and, as long as such models improve the control over classical control strategies, then their use remains justified. In this paper, a higher order internal PFC model is considered in order to reduce any possible plant-model mismatch, where the internal model is formulated as a series of cascaded or parallel first-order systems. The control approach is compared to a more conventional over parameterized dynamical matrix control (DMC) approach, used extensively for Multi-Input Multi-Output systems in the petrochemical industry. This paper demonstrates the benefits of the PFC higher order formulation for a typical milk pasteurisation plant, with significant improvements in the variances of both controlled and manipulated variables when compared to a first-order PFC. In this aspect, the higher order controller competes well with DMC performances, however, using a much more simpler and compact internal model form.

scholarly journals Preliminaries of Orthogonal Layered Defence Using Functional and Assurance Controls in Industrial Control Systems

2019 ◽  
Vol 8 (1) ◽  
pp. 14 ◽  
Author(s):  
Mike Mackintosh ◽  
Gregory Epiphaniou ◽  
Haider Al-Khateeb ◽  
Keith Burnham ◽  
Prashant Pillai ◽  
...  
Keyword(s):  
Control Systems ◽  
Architectural Design ◽  
Nuclear Facilities ◽  
Industrial Control ◽  
Transit Systems ◽  
Industrial Control Systems ◽  
Highly Sensitive ◽  
Functional Control ◽  
And Control ◽  
Control Traffic

Industrial Control Systems (ICSs) are responsible for the automation of different processes and the overall control of systems that include highly sensitive potential targets such as nuclear facilities, energy-distribution, water-supply, and mass-transit systems. Given the increased complexity and rapid evolvement of their threat landscape, and the fact that these systems form part of the Critical National infrastructure (CNI), makes them an emerging domain of conflict, terrorist attacks, and a playground for cyberexploitation. Existing layered-defence approaches are increasingly criticised for their inability to adequately protect against resourceful and persistent adversaries. It is therefore essential that emerging techniques, such as orthogonality, be combined with existing security strategies to leverage defence advantages against adaptive and often asymmetrical attack vectors. The concept of orthogonality is relatively new and unexplored in an ICS environment and consists of having assurance control as well as functional control at each layer. Our work seeks to partially articulate a framework where multiple functional and assurance controls are introduced at each layer of ICS architectural design to further enhance security while maintaining critical real-time transfer of command and control traffic.

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