Adaptive control which adequately adjusts controller gains according to the changes in plants, has become attractive in recent years .The controller proposed in this paper is tuned automatically with various tuning formulas based on the results of frequency domain system identification for the plant. The controller first estimates the frequency response of the plant using FFT. The controller gains are automatically tuned so as to minimize the error between the open loop frequency response of  the reference model and that of the actual system at a few frequency points. For the three example processes, reference models are derived. The frequency responses of the reference models and that of the actual processes are obtained. The controller gains are determined by applying the least squares algorithm .The responses of  the plants are verified in time domain and frequency domain after tuning the I-PD controller.                                                                         

Biographies:

G.Saravanakumar, is presently with the department of Instrumentation and control Engineering, MIT, Manipal, India. He completed his master’s degree in 2002.Presently he is a research scholar pursuing his work in the field of Adaptive control. He has published many papers in both national and International conferences. His research areas and field of Interests include control system, process control and adaptive control etc

R.S.D.Wahidabanu, is presently a professor with the department of Computer science and Engineering, GCE, Salem, India. She completed her PhD from Anna university, Chennai during 1994.Her research area of Interests include Artificial Intelligence, Computer protocols etc.12 students are being guided by her for doing PhD. She is a member of several Technical societies. She had published many papers in International conferences and Indian Journals..

BibTex:

@ARTICLE{P1110626005,

AUTHOR = {G.Saravanakumar and R.S.D.WahidhaBanu },

TITLE = {An Adaptive Controller based on system Identification for plants with uncertainties using well known Tuning formulas},

JOURNAL = {ICGST International Journal on Automatic Control and Systems Engineering, ACSE},

YEAR = {2006},

VOLUME = {06},

ISSUE = {III},

PAGES = {17--22}

}

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