Title :
Online frequency domain identification and genetic tuning of PID controllers
Author :
Jones, A.H. ; Ajlouni, N. ; Uzam, M.
Author_Institution :
Intell. Mach. Div., Salford Univ., UK
Abstract :
Techniques making use of genetic algorithms are proposed as a means of tuning PID controllers to provide prescribed gain and phase margins. In particular, it is shown that to implement the proposed tuning technique only limited frequency response data is required and that this may be readily obtained from simple online tests using a relay and simple time-delayed control. An illustrative example of the practical application of the method is provided in which a process control system is genetically tuned to a specified gain and phase margin
Keywords :
frequency-domain analysis; genetic algorithms; identification; process control; real-time systems; three-term control; tuning; PID controllers; frequency domain analysis; frequency response; gain margins; genetic algorithm; genetic tuning; online identification; phase margins; process control; Control systems; Extraterrestrial measurements; Frequency conversion; Frequency domain analysis; Genetic algorithms; Hysteresis; Relays; Temperature control; Three-term control; Tuning;
Conference_Titel :
Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7803-3685-2
DOI :
10.1109/ETFA.1996.573302