Key Features Refresher Information is provided with each example. "Mini-figures" will be placed in the expanded margin alongside the example. There will be web support for both the student and professor. There will be no charge for the use of this site and will be granted for professors who adopt this text. New literature citations and references have been added where appropriate. About the Process Designing Processes and Control Systems for Dynamic Performance This is a revision of a well received new book for what is a required course in Chemical Engineering. The author uniquely emphasizes practices in industry so that students learn what aspects of plant design & control are critical. This book identifies process as the central factor in plant automation and develops theory and practice to present the parameters of good dynamic performance. Approaches are presented for measurement selection, process/modification, control structure design and algorithm tuning to achieve good performance over a range of operating conditions. The sequence of topics (modeling, single-loop control and tuning, enhancements, multiloop control and design) builds the students' ability to analyze increasingly complex systems, culminating in multiloop control design. Contents 1 Introduction to Process Control 2 Control Objectives and Benefits 3 Mathematical Modeling Principles 4 Modeling and Analysis for Process Control 5 Dynamic Behavior of Typical Process Systems 6 Empirical Model Identification 7 The Feedback Loop 8 The Proportional-Integral-Derivative (PID) Algorithm 9 PID Controller Tuning for Dynamic Performance 10 Stability Analysis and Controller Tuning 11 Digital Implementation of Process Control 12 Practical Application of Feedback Control 13 Performance of Feedback Control Systems 14 Cascade Control 15 Feedforward Control 16 Adapting Single-Loop Control Systems for Non-Linear Processes 17 Inferential Control 18 Level and Inventory Control 19 Single-Variable Mode
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