Robust identification and controller design for delay processes

Abstract

In this thesis, a series of identification methods are proposed for continuous-time delay processes. Both open-loop identification tests and closed-loop ones are considered. The initial conditions are unknown and can be nonzero. The disturbance can be a static or dynamic one. Regression equations are derived according to types of test signals. All the parameters including time delay are estimated without iteration. These identification methods show great robustness against noise. The model obtained from process identification may be used for controller design. In the thesis, an analytical PID design method is then proposed for delay processes to achieve approximate pole placement with dominance. As shown in the given simulation examples and real time tests, the findings can be applied to industrial control systems. The schemes and results presented in this thesis have both theoretical contributions and practical values.