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View article: Advancing Industrial Automation: Highlights from Recent Research
Advancing Industrial Automation: Highlights from Recent Research Open
Industries today face several challenges due to rapidly evolving market demands, stringent environmental regulations, and the growing integration of renewable energy sources [...]
View article: Soft-Sensor-Enhanced Monitoring of an Alkylation Unit via Multi-Fidelity Model Correction
Soft-Sensor-Enhanced Monitoring of an Alkylation Unit via Multi-Fidelity Model Correction Open
Industrial process monitoring can benefit from utilizing historical data, providing insights for decision-making and operational efficiency. This study develops a soft-sensor-based approach leveraging multi-fidelity modeling to correct dis…
View article: Offset-Free Model Predictive Control of the Van De Vusse Reaction
Offset-Free Model Predictive Control of the Van De Vusse Reaction Open
This paper presents the design of the model predictive control (MPC) of the Van de Vusse reaction (VVR) with the state estimation and compares two offset-free reference tracking techniques. The control algorithm thus compensates for the mi…
View article: Integrated Testing of Model Predictive Control on Industrial PLC
Integrated Testing of Model Predictive Control on Industrial PLC Open
This paper involves the adoption of a multipurpose and easy-to-use Model Predictive Controller (MPC) written in Python and its interface with an industrial Programmable Logic Controller (PLC) and the related PID-based control system. As ha…
View article: Improving Process Monitoring via Dynamic Multi-Fidelity Modeling
Improving Process Monitoring via Dynamic Multi-Fidelity Modeling Open
We study real-time process monitoring, where employed online sensors yield inaccurate information. A multi-fidelity (MF) modeling approach is adopted that integrates dynamic information from online, low-fidelity (LF) data with infrequent, …
View article: Advanced Methods for Monitoring and Fault Diagnosis of Control Loops in Common Rail Systems
Advanced Methods for Monitoring and Fault Diagnosis of Control Loops in Common Rail Systems Open
Common rail systems are a key component of modern diesel engines and highly increase their performance. During their working lifetime, there could be critical damages or failures related to aging, like backlash or friction, or out-of-spec …
View article: Identification of linear data-driven models for large-scale power systems
Identification of linear data-driven models for large-scale power systems Open
The linearization of the full model of electrical power systems is of great significance for the adoption of linear analysis techniques to examine the system’s dynamic characteristics, as well as for the design and tuning of practical cont…
View article: Model-based Control of a Glass Melting Furnace
Model-based Control of a Glass Melting Furnace Open
This paper derives practical dynamic models for the glass industrial manufacturing process to be then included in model-based control solutions. In particular, the first section of the plant, that is, the glass melting furnace is investiga…
View article: Efficient NMPC strategies for thermal stress control of steam turbines
Efficient NMPC strategies for thermal stress control of steam turbines Open
This paper proposes an advanced control strategy for steam turbines characterized by frequent load variations based on a nonlinear model predictive control (NMPC) algorithm. In this specific scenario, turbines are subject to frequent varia…
View article: Easy-to-use MPC tool for controlling chemical processes in a rigorous simulation environment
Easy-to-use MPC tool for controlling chemical processes in a rigorous simulation environment Open
Rigorous process simulation has become a tool that academic and industrial environments are exploiting, mainly to extract information useful for maximizing pro t. As a matter of fact, the detailed thermodynamic models contained in commerci…
View article: Acid Gas Removal Unit in Waste-to-energy Plants: Data-driven Models for Advanced Control
Acid Gas Removal Unit in Waste-to-energy Plants: Data-driven Models for Advanced Control Open
Flue gas cleaning is a crucial step in waste-to-energy (WtE) plants that process municipal solid waste. This paper analyzes the acid gas removal line of an Italian WtE plant, based on the injection of dry sorbents (calcium hydroxide Ca…
View article: An Integrated Approach to the Hydrothermal Carbonization of Sewage Sludge: Simulation, Modeling, and Life Cycle Assessment
An Integrated Approach to the Hydrothermal Carbonization of Sewage Sludge: Simulation, Modeling, and Life Cycle Assessment Open
Sewage sludge management at wastewater treatment plants is becoming a more and more challenging task. Here, an innovative integrated modeling approach is developed to investigate the optimization of a municipal wastewater treatment plant (…
View article: Enhancing sustainability of acid gas treatment in a Waste-to-Energy plant via Model Predictive Control
Enhancing sustainability of acid gas treatment in a Waste-to-Energy plant via Model Predictive Control Open
View article: Easy-to-use MPC tool for controlling chemical processes in a rigorous simulation environment
Easy-to-use MPC tool for controlling chemical processes in a rigorous simulation environment Open
Rigorous process simulation has become a tool that academic and industrial environments are exploiting, mainly to extract information useful for maximizing profit. As a matter of fact, the detailed thermodynamic models contained in commerc…
View article: Data-driven Models for Advanced Control of Acid Gas Treatment in Waste-to-energy Plants
Data-driven Models for Advanced Control of Acid Gas Treatment in Waste-to-energy Plants Open
This paper presents a study of identification and validation of data-driven models for the description of the acid gas treatment process, a key step of flue gas cleaning in waste-to-energy plants. The acid gas removal line of an Italian pl…
View article: Optimally Managing Chemical Plant Operations: An Example Oriented by Industry 4.0 Paradigms
Optimally Managing Chemical Plant Operations: An Example Oriented by Industry 4.0 Paradigms Open
Updating industrial facilities to increase the level of automation and digitalization to match Industry 4.0 paradigms has become essential for many companies. Following such a trend, this paper presents a real-time optimization algorithm t…
View article: Robustness evaluation of different controllers in the presence of flow rate variations
Robustness evaluation of different controllers in the presence of flow rate variations Open
This paper proposes a direct approach to evaluate achievable robustness to flow rate variations of different controllers (PID and advanced algorithms), for typical process dynamics (First Order Plus Time Delay with different time delay/lag…
View article: An Automatic System for Modeling and Controlling Color Quality of Dyed Leathers in Tanneries
An Automatic System for Modeling and Controlling Color Quality of Dyed Leathers in Tanneries Open
This paper presents an automatic system for modeling and controlling color quality of dyed leathers of an Italian tannery. The proposed software is implemented within the IT company system, and is fully integrated with the machineries of t…
View article: A Cloud-Based Monitoring System for Performance Assessment of Industrial Plants
A Cloud-Based Monitoring System for Performance Assessment of Industrial Plants Open
The paper presents the realization of a control-loop performance monitoring system operating in a cloud as a single unity for the global supervision of data coming from various industrial plants located in different areas. This is a desira…
View article: A technological demonstrator for cloud-based performance monitoring and assessment of industrial plants: present architecture and future developments
A technological demonstrator for cloud-based performance monitoring and assessment of industrial plants: present architecture and future developments Open
This paper presents the actual status and future developments of a technological demonstrator of key enabling technologies of Industry 4.0. The final scope of the project is the realization of a platform where different solutions addressin…
View article: Implementation of an Industry 4.0 system to optimally manage chemical plant operation
Implementation of an Industry 4.0 system to optimally manage chemical plant operation Open
The evolution of the process industry in the direction of automation and digitalization is nowadays a consolidated phenomenon. In this direction, Industry 4.0 paradigms are leading many industrial companies to significantly update their fa…
View article: Enhancing MPC formulations by identification and estimation of valve stiction
Enhancing MPC formulations by identification and estimation of valve stiction Open
View article: Numerical Investigation of the Mixing of Highly Viscous Liquids with Cowles Impellers
Numerical Investigation of the Mixing of Highly Viscous Liquids with Cowles Impellers Open
This work is aimed at investigating the mixing process of highly viscous paints, used to colour leathers in the tanning industry, through Computational Fluid Dynamics (CFD). In particular, a mixing tank is fed with a master liquid and diff…
View article: Industrial PID Control Loop Data Repository and Comparison of Fault Detection Methods
Industrial PID Control Loop Data Repository and Comparison of Fault Detection Methods Open
This paper presents the control loop data of industrial controllers that are recently made available online. All data are verified and some of it has been published previously to develop fault detection and diagnosis methods. Methods to de…
View article: Model predictive control design for multivariable processes in the presence of valve stiction
Model predictive control design for multivariable processes in the presence of valve stiction Open
View article: An Open-Source System Identification Package for Multivariable Processes
An Open-Source System Identification Package for Multivariable Processes Open
We present in this paper an open-source System Identification Package for PYthon (SIPPY1), which implements different methods to identify linear discrete-time multi-input multi-output systems, in input-output transfer function or state spa…
View article: An augmented PID control structure to compensate for valve stiction
An augmented PID control structure to compensate for valve stiction Open
It is well-known that valve stiction causes sustained oscillations on process variables when a traditional PID controller is implemented in the feed-back loop. In the literature, there is a vast collection of solid techniques to compensate…
View article: Identification and estimation of valve stiction by the use of a smoothed model
Identification and estimation of valve stiction by the use of a smoothed model Open
Stiction in control valves is considered one of the most common causes of poor performance in control loops. Thus, non-invasive, reliable and efficient methods which can detect and quantify this malfunction are highly desirable in the proc…
View article: A valve stiction tolerant formulation of MPC for industrial processes
A valve stiction tolerant formulation of MPC for industrial processes Open
This paper presents three different formulations of MPC to face static friction in control valves for industrial processes. A pure linear formulation, a stiction embedding structure, and a stiction inversion controller are designed. The co…
View article: Process control performance evaluation in the case of variable set‐point with experimental applications
Process control performance evaluation in the case of variable set‐point with experimental applications Open
The purpose of this paper is to contribute with some refinements to recent methods of analysis of control loop performance, based on the well‐established principle of Internal Model Control (IMC). Lower limits for the absolute value of the…