Relay-tuned FSA control for unstable processes with deadtime
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
In this paper, the control of open-loop unstable processes with deadtime is considered. Astrom and Hagglund's (1984, 1988) relay auto-tuning for PID regulators is extended to such processes. Some conditions for limit cycles under relay feedback are given. A first-order unstable rational function plus deadtime is employed to model a class of the processes with a single unstable pole and deadtime. Its parameters are extracted from a relay feedback experiment. The modified finite spectrum assignment is used to control such a process and a simple method is then developed to obtain the closed-form control law for ease of real-time implementation. It is also shown that so auto-tuned MFSA system is practically stable in the face of perturbations in process dynamics. Simulation examples are included for illustration.Keywords
This publication has 11 references indexed in Scilit:
- Automatic tuning of finite spectrum assignment controllers for delay systemsAutomatica, 1995
- Frequency-domain finite spectrum assignment for delay systems with multiple polesInternational Journal of Control, 1993
- PID autotuning algorithm based on relay feedbackIEE Proceedings D Control Theory and Applications, 1993
- Industrial adaptive controllers based on frequency response techniquesAutomatica, 1991
- Controllers of Ziegler-Nichols type for unstable process with time delayInternational Journal of Control, 1989
- Finite spectrum assignment for multivariable delay systems in the frequency domainInternational Journal of Control, 1988
- A modified Smith predictor and controller for unstable processes with time delayInternational Journal of Control, 1985
- Frequency-domain pole assignment and exact model-matching for delay systemsInternational Journal of Control, 1985
- Automatic tuning of simple regulators with specifications on phase and amplitude marginsAutomatica, 1984
- Pattern recognition: An alternative to parameter identification in adaptive controlAutomatica, 1977