Luyben W.L. Process modeling, simulation, and control for chemical engineers

2nd Ed. — New York: McGraw-Hill Publishing Company, 1996. - 750 p.Руководство по математическому моделированию в химической технологии. Для инженеров-химиков. На английском языке.Фрагмент предисловия: The first edition of this book appeared over fifteen years ago. It was the first chemical engineering textbook to combine modeling, simulation, and control. It also was the first chemical engineering book to present sampled-data control. This choice of subjects proved to be popular with both students and teachers and of considerable practical utility.During the ten-year period following publication, I resisted suggestions from the publisher to produce a second edition because I felt there were really very few useful new developments in the field. The control hardware had changed drastically, but the basic concepts and strategies of process control had undergone little change. Most of the new books that have appeared during the last fifteen years are very similar in their scope and content to the first edition. Basic classical control is still the major subject.However, in the last five years, a number of new and useful techniques have been developed. This is particularly true in the area of multivariable control. Therefore I feel it is time for a second edition.In the area of process control, new methods of analysis and synthesis of control systems have been developed and need to be added to the process control engineer’s bag of practical methods. The driving force for much of this development was the drastic increase in energy costs in the 1970s. This led to major redesigns of many new and old processes, using energy integration and more complex processing schemes. The resulting plants are more interconnected. This increases control loop interactions and expands the dimension of control problems. There are many important processes in which three, four, or even more control loops interact.As a result, there has been a lot of research activity in multivariable control, both in academia and in industry. Some practical, useful tools have been developed to design control systems for these multivariable processes. The second edition includes a fairly comprehensive discussion of what I feel are the useful techniques for controlling multivariable processes.