Índice

Bibliografía: p. [451]-457

This text introduces the fundamental techniques for controlling dead-time processes from simple monovariable to complex multivariable cases. Dead-time-process-control problems are studied using classical proportional-integral-differential (PID) control for the simpler examples and dead-time-compensator (DTC) and model predictive control (MPC) methods for progressively more complex ones. The text analyses MPC as a dead-time-compensation strategy and shows how it can be uses synergistically with robust DTC tuning methodologies. Readers will benefit from the following particular features of this text: interlinked study of PID, DTC, and MPC for dead-time processes in a single source; exercises and further reading for each chapter; case studies based on real industrial problems with solutions that are simple to understand and easy to implement; MATLAB® code to help analyse and control dead-time processes including code for all the examples in the book available for download from the Web. Teaches students the extent and nature of widespread time-delay-related problems in control and helps them to find solutions. Single source for PID-DTC and MPC approaches to dead-time problems gives easier access to both types of scheme and shows how they can reinforce each other.

Índice: Introduction.- Dead-time Processes.- Identification of Dead-time Processes.- PID Control of Dead-time Processes.- The Smith Predictor.- Dead-time Compensators for Stable Plants.- Dead-time Compensators for Unstable Plants.- Discrete Dead-time Compensators.- Model Predictive Control of Dead-time Processes.- Robust Predictive Control of Dead-time Processes.- Multivariable Dead-time Compensation.- Robust MPC for MIMO Dead-time Processes.- Control of Nonlinear Dead-time Processes.- Prediction for Control.- Appendix.