Adaptive control strategies for process control: A survey

AIChE Journal ◽  
1986 ◽  
Vol 32 (6) ◽  
pp. 881-913 ◽  
Author(s):  
D. E. Seborg ◽  
T. F. Edgar ◽  
S. L. Shah
Keyword(s):  
Adaptive Control ◽  
Process Control ◽  
Control Strategies

Optimization and Control Petroleum Refinery Wastewater Treatment Systems — Status, Trends and Needs

1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Petroleum Refinery ◽  
Control Strategies ◽  
Refinery Wastewater ◽  
Statistical Process ◽  
Petroleum Refinery Wastewater ◽  
Optimization And Control ◽  
And Control ◽  
Wastewater Treatment Systems

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.

Process control strategies for solar-powered carbon capture under transient solar conditions

Energy ◽  
2021 ◽  
pp. 122382
Author(s):  
Dia Milani ◽  
Minh Tri Luu ◽  
Scott Nelson ◽  
Ali Abbas
Keyword(s):  
Process Control ◽  
Carbon Capture ◽  
Control Strategies ◽  
Solar Powered

Development of a Laboratory Equipment for Dynamic Systems and Process Control Education

2014 ◽  
Author(s):  
Rafael E. Vásquez ◽  
Norha L. Posada ◽  
Fabio Castrillón ◽  
David Giraldo
Keyword(s):  
Process Control ◽  
Dynamic Systems ◽  
Sliding Mode ◽  
Control Strategies ◽  
Academic Research ◽  
Nonlinear Behavior ◽  
Industrial Training ◽  
Laboratory Equipment ◽  
Dynamic Matrix ◽  
Control Education

This paper addresses the development of an equipment to teach control engineering fundamentals. The design requirements were determined by users that perform academic, research and industrial training tasks in the area of dynamic systems and process control. Such requirements include: industrial instrumentation; measurement of controlled and manipulated variables, and disturbances; process reconfigurability; different control technologies; several control strategies; appropriate materials for visualization; and compact shape to optimize lab space. The selected process is a tank system that allows one to choose among several dynamic behaviors: first, second, and third order, linear and nonlinear behavior, and dead time; the mathematical model that represents the dynamics of the system is presented. A traditional 3-stage design methodology that includes conceptual, basic and detailed design was followed. The developed equipment allows the user to select from three different technological alternatives to control the system: a PLC, an industrial controller, and a computer. With such flexibility, several control strategies can be implemented: feedback, feedforward, PID, LQG, nonlinear control (gain scheduling, sliding mode, etc.), fuzzy logic, neural networks, dynamic matrix control, etc. The developed system is being used to teach undergrad courses, grad courses, and industrial training. Additionally, the equipment is useful in research projects where grad students and researches can implement and test several advanced control techniques.

Direct adaptive algorithm for seismic control of damaged structures with faulty sensors

2017 ◽  
Vol 24 (24) ◽  
pp. 5854-5866 ◽  
Author(s):  
Amin Hosseini ◽  
Touraj Taghikhany ◽  
Arash Yeganeh Fallah
Keyword(s):  
Adaptive Control ◽  
Seismic Response ◽  
Structural Damage ◽  
Control Method ◽  
Control Strategies ◽  
Magnetorheological Damper ◽  
Main Concern ◽  
Building Structures ◽  
Steel Moment Resisting Frames ◽  
Seismic Control

In recent decades, the application of semi-active control strategies has gained much attention as a way to reduce the seismic response of civil infrastructures. However, uncertainty in the modeling process of systems with possible partial or total failure during an earthquake is the main concern of engineers about the reliability of this strategy. In this regard, adaptive control algorithms are known as an effective solution to adjust control parameters with different uncertainties. In the current study, the efficiency of the simple adaptive control method (SACM) is investigated to control the seismic response of building structures in the presence of unknown structural damage and fault in the sensors. The method is evaluated in 20-story steel moment resisting frames with different arrangement of smart dampers and sensors with various damage and fault scenarios. The results show that the SACM control system can effectively reduce the maximum inter-story drift of the structure in all different assumed magnetorheological damper arrangements. Furthermore, combination of a Kalman–Bucy filter with the SACM improves robustness of the controller to the uncertainties of sensors faults and damages of structural elements.

Adaptive Process Control in Noncircular Grinding

1999 ◽  
Author(s):  
Hans Kurt Tönshoff ◽  
Stephan Scherger ◽  
Helmut Hinkenhuis
Keyword(s):  
Adaptive Control ◽  
Process Control ◽  
Position Control ◽  
Dimensional Accuracy ◽  
Control Unit ◽  
Setup Time ◽  
Relevant Information ◽  
Adaptive Process Control ◽  
Tangential Forces ◽  
Hybrid Adaptive Control

Abstract Conventional process control in noncircular grinding requires high efforts concerning adjustment and optimization. The increasing demands on multi-product-ability as well as small lot sizes or single piece production do no longer allow these efforts. Furthermore, process relevant information like normal or tangential forces is not monitored, consequently there is no possibility for process quality control to support a constant workpiece quality. This article introduces a hybrid adaptive control which consists of three components: The contour pre-filtering unit converts the contour data into a nominal value curve that is twice differentiable. Limited dynamic ranges of the drives, especially at high rates of workpiece rotations, are considered in the predictive feeddrive position control unit. The normal force control unit keeps the swelling of the machine at a constant value and therefore improves the dimensional accuracy of noncircular workpieces like e.g. cams. The hybrid adaptive control dramatically reduces the setup time of the process and results in improved workpiece quality.

Enhancing the Supersonic Gas Separation operating envelope through process control strategies of the feed conditioning plant for offshore CO2 removal from natural gas

2020 ◽  
Vol 94 ◽  
pp. 102928
Author(s):  
Nurzatil Aqmar Othman ◽  
Lemma Dendena Tufa ◽  
Haslinda Zabiri ◽  
Abdullah Al-Mubarak Md Jalil ◽  
Khairul Rostani
Keyword(s):  
Natural Gas ◽  
Process Control ◽  
Gas Separation ◽  
Control Strategies ◽  
Co2 Removal
Sign in / Sign up

Export Citation Format

Share Document