Control of Integral Processes with Dead Time provides a unified and coherent review of the various approaches devised for the control of integral processes, addressing the problem from different standpoints. In particular, the book treats the following topics: How to tune a PID controller and assess its performance; How to design a two-degree-of-freedom control scheme in order to deal with both the set-point following and load disturbance rejection tasks; How to modify the basic Smith predictor control scheme in order to cope with the presence of an integrator in the process; and how to address the presence of large process dead times.
The methods are presented sequentially, highlighting the evolution of their rationale and implementation and thus clearly characterising them from both academic and industrial perspectives.
Introduction.- Part I: PID Control Schemes.- PID Tuning Methods.- Stability Region under PI and PID Control.- Performance Assessment.- Plug&Control.- Part II: Two-degree of Freedom Control Schemes.- Noncausal Feedforward Control.- Schemes with an Inner Loop.- Smith-predictor-based Control Schemes.- Smith-principle-based PID-type Controller.- Disturbance-observer-based Control Scheme.- Quantitative Analysis.- Practical Issues.
Antonio Visioli received the Laurea degree in electronic engineering from the University of Parma, Parma, Italy, and the Ph.D. degree in applied mechanics from the University of Brescia, Brescia, Italy, in 1995 and 1999 respectively. His Ph.D. dissertation was on control strategies for industrial robot manipulators. From 1997 to 2005 he has been assistant professor and from 2005 he is associate professor of Automatic Control at the Department of Electronics for Automation, University of Brescia, Italy.
His research interests include industrial robot control and trajectory planning, input-output-inverlƒ@