An expert PID controller uses refined ziegler and nichols rules and fuzzy logic ideas

ACOSTA, GERARDO G.; MAYOSKY, M. A.; CATALFO, J. M.

APPLIED INTELLIGENCE

Springer Netherlands

Lugar: Amsterdam; Año: 1994 vol. 4 p. 53 - 66

0924-669X

This article proposes a scheme for the on-line adjustment of three mode controller settings based on experimental measurements of closed-loop performance. It uses a recently developed heuristic tuning procedure to identify estimated process parameters. This method may give rise to conflicting estimates. Fuzzy Set theory is applied to manage the situation in terms of a fuzzy conjunction to combine the various estimates. PID control was chosen because of its wide use in the industrial environment due to driving simplicity and robustness. The article shows design, development, and computer simulation aspects.