- Explores real-world industrial challenges faced by chemical engineering professionals
- Analyses current research ideas developed by leading scientists
- Evaluates the intersection of academia and industry, offering understanding how to bridge the gap between theoretical research and practical applications
- Discusses opposing perspectives from both academic and industrial viewpoints
Redaktion: Pawel D. Domanski
Pawel D. Domanski was born in 1967 in Warsaw, Poland. He received the M.Sc. degree in 1991, the Ph.D. degree in 1996, the D.Sc. degree in 2018, and ProfTit in 2024, all in control engineering, from the Warsaw University of Technology. Since 1991 he has been working at the Institute of Control and Computational Engineering, Warsaw University of Technology. Besides scientific research, he has participated in dozens of industrial implementations of Advanced Process Control (APC) and optimization in power and chemical industries. He is the (co-)author of three books and more than 150 publications. His main research interest is in industrial APC applications, control performance quality assessment and optimization. Currently, his research interest is shifting towards multi-agent modelling in the supply chain management environment.
Provides a comprehensive reference on sustainable solutions in wastewater management, providing essential bioremediation techniques, advanced technologies, and real-world case studies
Process Control: Bridging Academic and Industry Together examines control engineering challenges in chemical engineering through the lens of academic researchers, plant engineers, and control system vendors. Covering a wide array of topics—from PID tuning and hybrid control strategies to alarm management and advanced ratio control—this book equips readers with a comprehensive understanding of both theoretical and practical aspects of control engineering, exploring areas such as feedforward control, multi-loop systems, and energy production optimization. Control systems vendors will gain insights into strategies for minimizing the science-industry gap, while students will discover what knowledge and skills are essential in the industry.
By fostering collaboration among these diverse groups, the book aims to inspire innovative solutions that can be effectively implemented in real-world settings, making it a must-read for young academic scientists eager to grasp the industrial challenges they will face. Plant engineers seeking to leverage the latest academic research in their work will also find the content to be informative. Each contributor in the book shares valuable insights into their experiences, addressing real-world problems and innovative solutions that will help shape industrial practice.
Part I: Introduction
1. A chapter about the gap.
Part II: Industrial users perspectives
2. Enhancing (PID) Control Education for Industry Practitioners: Bridging Theory and Practice
3. Beyond the Classroom: Industry Practices and Challenges on Process Control Design and Operation
4. PID Tuning Challenges in Industry and Best Practices
5. Improvement of process control with ARC and PIDA algorithm -- practical framework
6. Regulatory Control Performance Analysis: Experiences Gained in the Last Decade
Part III: Industrial vendors perspectives
7. The trade-off among different PID control performance
8. sic!-PID: theoretical analysis and implementation concerns
9. Anti-windup in PID and MPC - similarities and differences
10. Event-Based PID Control
11. Modern methods for alarm management
12. The role played by proof testing in the SIL calculations
Part IV: Academia perspectives
13. Plantwide Control: From Research and Development to Industry Adoption
14. Simple PID tuning
15. PID-based control approaches for microalgae production in raceway photobioreactors
16. Feedforward control revisited
17. Advanced Ratio Control
18. Industrial hierarchical control approaches for solar energy systems
19. Stable Transfer Function Modeling Tool for Industrial Processes: an Identification Approach with Structural Constraints
20. Analysis of Multi-Loop Control System Using Nonstationary Probabilistic Models
21. Towards Digital Twins: Hybrid PID–MPC Control of Continuous Direct Compaction Process
22. Optimised process planning and control in batch-type water recovery facility
Part V: The answer?
23. Quo vadis control engineering a.d. MMXXV?
