Focusing on the practical implementation of the methods of process modelling and control, this book provides readers with rapid access to the methods described, while including the theoretical background necessary.
Throughout, the essential knowledge is built up from chapter to chapter, starting with laying the foundations in plant instrumentation and control. Modelling abilities are then developed by starting from simple time-loop algorithms and passing on to discrete methods, Laplace transforms, automata and fuzzy logic. In the end, readers have the means to design simple controllers on the basis of their own models, and to use more detailed models to test them.
With its clarity and simplicity of presentation, and illustrated by more than 200 diagrams, this book supports self-study and teaches readers how to apply the appropriate method for the application required, and how to handle problems in process control.
Bridging theory and practice, over 200 exercises and solutions can be found in the accompanying "Applied Process Control: Efficient Problem Solving", to develop the problem-solving abilities of process engineers.
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Michael Mulholland has been Professor Emeritus of the University of KwaZulu-Natal (South Africa) since 2012. In 1977, he started his career as senior technical officer at AECI, an explosives and specialty chemicals group located in South Africa. In 1982 he became lecturer and later Professor at the University of KwaZulu-Natal, a position he held until his retirement. During his time at the university he was the author of several consulting reports and manuals for the chemical and petroleum industry. He is a member of the South African Institution of Chemical Engineers, the Institution of Chemical Engineers (United Kingdom) and a Chartered Engineer (United Kingdom). Having worked in industry and with over 30 years of teaching experience in process control, Mulholland knows exactly what a graduate process engineer needs to know to work effectively in industry.
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