In the industrial process control field, due to the aftereffect phenomena occurred in the real processes’ inner dynamics, the variety of transport delays, communication delays involved by the sensors and transducers, and the computational time, time-delay effects are inevitable. Nowadays, the performance of traditional control-lers is not satisfactory. Therefore, the design and application of the advanced control-ler which takes the time-delay into account are necessary. This thesis focuses on the four aspects: 1) The mathematical description of time-delay systems. Time-delay systems are quite different from non-delay systems. Chapter two gives the main descrip-tion of time-delay systems which is the base of the system identification and control. 2) Chapter three discusses how to identify the model from process data. Several estimation methods of delay time and the corresponding system are given from the two different regions: time region and frequency region. 3) In chapter four, a simple survey is provided to show the development of anti-delay controllers. Then, model predictive algorithm is deduced and a convenient realization structure is obtained. In addition, the mathematical relation between the PID parameters and model predictive algorithm is pre-sent. 4) For the sake of real world applications, the engineerization of control theo-ries is considered. At the end of each chapter, Matlab simulations are presented. A few algorithms have been tested on the control platform in our laboratory. Some novel viewpoints in this thesis are: 1) Point out the resemblance between model order estimation and delay time estimation. Extend the existing non-delay identification methods to deal with time-delay systems. 2) Deduce the realization-convenient structure of the model predictive algo-rithm. Study the relations between PID parameters tuning and model predic-tive algorithm.
修改评论