Control Of Dead-time Processes Research Articles

Parallel cascade control of dead time processes via fractional order controllers based on Smith predictor

In this paper, control of stable, unstable and integrating processes with large time delay in the presence of uncertainty, external disturbances and measurement noise is investigated. For this purpose, fractional order controllers in the parallel cascade scheme based on smith predictor are designed. The applied parallel cascade control strategy consists of a set point tracking controller, a disturbance rejection and a stabilizing controller. Set point tracking and disturbance rejection controllers are fractional order controllers and stabilizing controller is designed based on Routh–Hurwitz stability criterion. Also, the robust stability and the performance of the proposed strategy are studied in some details. The numerical simulation results are used to make comparisons with the other researchers’ works to show superiority of the designed controllers.

WNCSbed: A WSAN Based Testbed for Networked Control Systems

In this study, a new testbed which has a WSAN structure and is utilized for monitoring and controlling of industrial systems is designed and implemented. In order to investigate the performance of the testbed developed, a first order plus dead time process control system is tested using both of on-off with hysteresis and PID algorithms, respectively. In the light of the discussion given through the study, it can easily be deduced that, experiments related to monitoring and controlling of industrial systems can be realized by the testbed, easily, and lots of time can be saved from creating an experimental environment.

Control of Dead-Time Processes (J.E. Normey-Rico and E.F. Camacho; 2007) [Book Review

This book presents three widely used control strategies in a textbook format, which until recently were available only through multiple sources. Some topics covered include: examples of processes with dead time; approximations of dead time; design methods and configurations of PID control; dead-time compensators; model predictive control (MPC); robust analysis and control design; linear MIMO systems; MPC for MIMO systems; and predictors for control purposes. The book contains a generous number of practical examples. The material is well organized and nicely presented. The book is suitable as a textbook for a graduate level course or as a reference for practicing engineers. The first eight chapters can also be considered as a textbook for a final year undergraduate course.