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Application of Micro Computers in Design of Self-tuning Controllers

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Collection

2011 ASEE Annual Conference & Exposition

Location

Vancouver, BC

Publication Date

June 26, 2011

Start Date

June 26, 2011

End Date

June 29, 2011

ISSN

2153-5965

Conference Session

International Poster Session

Tagged Division

International

Page Count

13

Page Numbers

22.214.1 - 22.214.13

Permanent URL

https://peer.asee.org/17495

Download Count

10

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Paper Authors

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Alireza Rahrooh Daytona State College

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Alireza Rahrooh is an Associate Professor of Electrical Engineering Technology at Dayton State College. He received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Akron, in 1979, 1986, and 1990, respectively. His research interests include digital simulation, nonlinear dynamics, chaos, control theory, system identification and adaptive control. He is a member of ASEE, IEEE, Eta Kappa Nu, and Tau Beta Pi.

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Robert De la Coromoto Koeneke Daytona State College

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Robert Koeneke is an Assistant Professor of Electrical Engineering Technology at Daytona State College. He received his B.S. in Electronics Engineering from Universidad Simon Bolivar in 1977 and his M.S. in Computer Science from Santa Clara University in 1982. His research interest include embedded systems, digital programmable devices and computer communications. He is a member of IEEE and ACM.

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Walter W. Buchanan Texas A&M University

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Walt Buchanan is the J.R. Thompson Chair Professor at Texas A&M University. He is a Fellow and served on the Board of Directors of both ASEE and NSPE, is Past-Chair of the Professional Engineers in Higher Education of NSPE, is a Past President of the Massachusetts Society of Professional Engineers, and is a registered P.E. in six states. He is a past member of the Executive Committee of TAC of ABET. Buchanan is on the editorial board of the Journal of Engineering Technology, has authored over 170 publications, and has been a principal investigator for NSF.

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Abstract

Application of Micro Computers in Design of Self-tuning ControllersAbstractThe speed and accuracy of microprocessors has extensively changed the way control systems aredesigned. Process controllers can be “taught” to adjust themselves without any operator intervention.These self-tuning or adaptive controllers are programmed to provide a stable system response undervarious disturbance conditions.This paper presents a fluid level system to be modeled and controlled utilizing an adaptive PIDcontroller to improve the output response to a step input. The digital controller will provide therequired output with variations in a single plant parameter. A fully adaptive controller will then beimplemented using PC Matlab to allow for any of the plant parameters to vary and still maintain asuitable output. This concept can be used in Senior Design Project Course as well as in MasterPrograms in developing nations with limited resources.The popularity of the PID controller and the increased use of microprocessors has led to a digitalversion of the algorithm for use in computer control applications. The first part of this paper will lookat the output response of the specified plant to a step input. Some of the plant parameters will beadjusted to obtain the best results. The next part will show how the system response is improved byadding a PID controller. A digital PID controller will be used so that the controller parameters can beadjusted on-line to account for variations in one of the plant values. Pole placement technique will beused in the design. One of the plant parameters that can be externally adjusted will be varied. It will beshown that the system response will remain the same over the entire range of adjustment. The last partwill show how an adaptive controller will allow any of the plant parameters to vary without greatlychanging the system response. The least-squares algorithm will be used to update the controller valuesduring every sampling period.

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