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List of contents
INTRODUCTION AND TOOLS. Computerized Control Systems in Drying Operations. Computer-Based Instrumentation for Real-Time Measurements. Drying Process Modeling and Simulation. BASICS OF INTELLIGENT CONTROL. 4. Model-Based Control Systems. 5. Fuzzy Logic Control Systems. 6. Neural Network Control Systems. 7. Evolutionary Algorithms Control Systems. 8. Computer Vision Systems. 9. Open and Closed Loop Control in Drying. 10. Dynamic Optimization in Drying. INTELLIGENT CONTROL APPLICATIONS. Automatic Control in Fruit and Vegetable Drying. Automatic Control in Spray Drying. Automated Control in Meat Drying. Automatic Control in Medicinal Herb Drying. Automatic Control of Wood Drying. Automatic Control of Paper Dryers. Automatic Control of Sludge Dryer. Automatic Control of Conveyor Belt Dryer. Automatic Control of Fluidized Bed Dryer. Automatic Control of Freeze Dryers. Automatic Control of MW Dryers. Automatic Control in IR Dryers. Future Trends.
About the author
Alex Martynenko is a professor at Bioelectronics and Bioinstrumentation in Dalhousie University. Working on the border of biological science and engineering, he is developing innovative drying and food processing technologies. Working in University of Guelph, he developed minimal processing technology for ginseng root drying. This technology, developed for Ontario ginseng growers, significantly decreased energy requirements and improved quality of ginseng drying. In 2007 he established a framework for a strong and innovative Imaging Research Program in Dalhousie University with emphasis on two major research themes: (i) multi-spectral imaging of food quality in drying; (ii) optimization in drying operations. Through his career, Dr Martynenko has successfully managed a number of research projects related to the engineering of innovative processing technologies and control systems. He successfully completed 28 research projects, including 3 international; presented results of research work in peer-reviewed scientific journals (62), and on international conferences (46). He is author and co-author of four books and 10 patents, requested author of two reviews in Drying Technology and an instructor for industry-oriented short courses.
Summary
This shows benefits of control applications to drying processes, gives overview of control principles and systems from model-based to adaptive. It covers fundamental and practical aspects of knowledge-based control, reasoning, expert systems, automation, artificial intelligence, computer vision, sensor fusion and operations research.
