Understanding Process Dynamics and Control

2021 ◽  
Author(s):  
Costas Kravaris ◽  
Ioannis K. Kookos
Keyword(s):  
Process Control ◽  
Traditional Approach ◽  
Chemical Reactor ◽  
Clear Understanding ◽  
Theoretical Concepts ◽  
Process Dynamics ◽  
Symbolic Calculations ◽  
Dynamics And Control ◽  
And Control ◽  
Key Terms

Presenting a fresh look at process control, this new text demonstrates state-space approach shown in parallel with the traditional approach to explain the strategies used in industry today. Modern time-domain and traditional transform-domain methods are integrated throughout and explain the advantages and limitations of each approach; the fundamental theoretical concepts and methods of process control are applied to practical problems. To ensure understanding of the mathematical calculations involved, MATLAB® is included for numeric calculations and MAPLE for symbolic calculations, with the math behind every method carefully explained so that students develop a clear understanding of how and why the software tools work. Written for a one-semester course with optional advanced-level material, features include solved examples, cases that include a number of chemical reactor examples, chapter summaries, key terms, and concepts, as well as over 240 end-of-chapter problems, focused computational exercises and solutions for instructors.

scholarly journals Benchmark temperature microcontroller for process dynamics and control

2020 ◽  
Vol 135 ◽  
pp. 106736 ◽  
Author(s):  
Junho Park ◽  
R. Abraham Martin ◽  
Jeffrey D. Kelly ◽  
John D. Hedengren
Keyword(s):  
Process Dynamics ◽  
Dynamics And Control ◽  
And Control

Electrospinning Nanofibers: Measurements, Dynamics, and Control Strategy Development

2014 ◽  
Author(s):  
Yunshen Cai ◽  
Michael Gevelber
Keyword(s):  
Controller Design ◽  
Fiber Diameter ◽  
Operating Regime ◽  
Strategy Development ◽  
Process Conditions ◽  
Control Approach ◽  
Process Dynamics ◽  
Wide Range ◽  
Dynamics And Control ◽  
And Control

Electrospinning produces submicron fibers for a variety of applications using a wide range of polymers. Achieving the desired fiber diameter, maximizing productivity, and minimizing variation are important production objectives. This paper addresses several important areas needed to develop a general electrospinning control approach including: developing a correlation between measurements, process conditions, and the resulting fiber diameter, developing a method to determine an operating regime that meets manufacturing objectives, and identifying process dynamics for controller design.

scholarly journals Integration of Biological Systems Content into the Process Dynamics and Control Curriculum

2004 ◽  
Vol 37 (9) ◽  
pp. 467-474
Author(s):  
Robert S. Parker ◽  
Francis J. Doyle ◽  
Michael A. Henson
Keyword(s):  
Biological Systems ◽  
Process Dynamics ◽  
Dynamics And Control ◽  
And Control

Process Dynamics and Control Analysis for Electrospinning Nanofibers

2010 ◽  
Author(s):  
Xuri Yan ◽  
Michael Gevelber
Keyword(s):  
Fiber Diameter ◽  
Electrospinning Process ◽  
Open Loop ◽  
Diameter Distribution ◽  
Control Analysis ◽  
Process Dynamics ◽  
Current State ◽  
Dynamics And Control ◽  
Process Reproducibility ◽  
And Control

In many emerging, high value electrospinning applications, the diameter distribution of electrospun fibers has important implications for the product’s performance and process reproducibility. However, the current state-of-the-art electrospinning process results in diameter distribution variations, both during a run and run-to-run. To address these problems, a vision-based, open loop system has been developed to better understand the process dynamics. The effects of process parameters on fiber diameter distributions are investigated, process dynamics are identified, and the relation between measurable variables and the resulting fiber diameter distribution is analyzed.

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