Design of Flexible PID-Plus Bang-Bang Controller with Neural Network Predictive Model

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 282
  • Download : 150
PID-type controllers have been well-known and widely used in many industries. Their regulation property of those was more improved through the addition of Bang-Bang-action. In spite of the potentials of these PID-plus Bang-Bang controllers, their regulation property is still limited by the fixed window limit value that determines the control action, i.e., PID or Bang-Bang. Thus, this paper presents an approach for improving the regulation property by dynamically changing the window limit value according to the plant dynamics with Neural Network predictive model. The improved regulation property is illustrated through simulation studies for position control of DC servo-motor system in the sense of classical figures of merit such as overshoot and rise time.
Publisher
Institute of Electronics, Information and Communication Engineers
Issue Date
1996-04-20
Keywords

PID-plus Bang-Bang control; active window; neural network predictive model

Citation

IEICE transactions on information and systems ,Vol.E79-D, No.4, pp.357-362

ISSN
0916-8532
URI
http://hdl.handle.net/10203/13775
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
JF-23.pdf(858.43 kB)Download

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0