Author/Authors :
Hsiao-Ping Huang and Yeong Tarng Tang، نويسنده , , Jyh-Cheng Jeng and Kuo-Yuan Luo، نويسنده ,
Title Of Article :
Auto-tune system using single-run relay feedback test and model-based controller design
Latin Abstract :
In this paper, a systematic approach for auto-tune of PI/PID controller is proposed. A single run of the relay feedback experiment
is carried out to characterize the dynamics including the type of damping behavior, the ultimate gain, and ultimate frequency.
Then, according to the estimated damping behavior, the process is classified into two groups. For each group of processes, modelbased
rules for controller tuning are derived in terms of ultimate gains and ultimate frequencies. To classify the processes, the estimation
of an apparent deadtime is required. Two artificial neural networks (ANNs) that characterize this apparent deadtime using
the ATV data are thus included to facilitate this estimation of this apparent deadtime. The model-based design for this auto-tuning
makes uses of parametric models of FOPDT (i.e. first-order-plus-dead-time) and of SOPDT (i.e. second-order-plus-dead-time)
dynamics. The results from simulations show that the controllers thus tuned have satisfactory results compared with those from
other methods.
NaturalLanguageKeyword :
Auto-tune , relay feedback , artificial neural network , Apparent deadtime
JournalTitle :
Studia Iranica