Y. Mitsukura, M. Fukumi, and T. Yamamoto (Japan)
PID control, generalized minimum variance control (GMVC) law, genetic algorithm
PID control schemes have been widely used in most of process control systems for the control of chemical processes.
However the selection of suitable or optimal tuning parameters for such control laws remains a challenging problem.
The PID constants have a great inﬂuence on stability and
control performance. In this paper, a self-tuning PID control scheme is proposed, which is able to deal with a time
varying system. The proposed scheme is derived based on
the relationship between PID control and generalized minimum variance control(GMVC) laws. Furthermore, a suitable set of some user-speciﬁed parameters included in the
GMVC criterion is sought by using a genetic algorithm re
cursively. Finally, the newly proposed scheme is evaluated
on a temperature control system.