Process Dynamics and ControlThis third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field. |
Contents
INTRODUCTION TO PROCESS CONTROL | 1 |
Theoretical Models of Chemical Processes | 14 |
Laplace Transforms 40 | 34 |
Transfer Function Models | 59 |
Dynamic Behavior of FirstOrder and Second | 73 |
Development of Empirical Models from | 114 |
PART THREE | 128 |
Feedback Controllers | 134 |
239 | 251 |
Control 283 | 289 |
Digital Sampling Filtering and Control | 316 |
Multiloop and Multivariable Control | 341 |
RealTime Optimization | 367 |
Model Predictive Control | 386 |
Batch Process Control 429 | 399 |
Instrumentation Symbols 499 | 406 |
Control System Instrumentation | 150 |
Dynamic Behavior and Stability | 183 |
Standard Normal Distribution 505 | 412 |
Dynamic Models and S Principle of the Argument | J-17 |
Other editions - View all
Process Dynamics and Control Dale E. Seborg,Duncan A. Mellichamp,Thomas F. Edgar No preview available - 2011 |
Common terms and phrases
analysis approximate behavior block diagram Bode plot calculated cascade control Chapter characteristic equation closed-loop responses closed-loop system closed-loop transfer function composition consider constant constraints control chart control loop control valve controlled variable controller gain controller output controller settings derivative digital control discrete-time distillation column dynamic model error example feed ffow Figure filter first-order flow rate frequency response fuzzy heat inlet input integral Laplace transform limits linear liquid manipulated variables measurement method model parameters multivariable nonlinear nonlinear regression obtained open-loop operating optimization phase phase margins PID controller plant pressure process control process model process variables proportional controller reactor result Routh stability criterion second-order Section sensor set point set-point change shown in Fig signal simulation Simulink sinusoidal SOLUTION stability criterion steady-state gain step change step response stirred-tank stream tank techniques temperature tion transmitter trol troller zero zero-order hold