Loading...

On- and off-line tuning rules for unconstrained SISO DMC

Haeri, M ; Sharif University of Technology | 2002

5 Viewed
  1. Type of Document: Article
  2. Publisher: Sharif University of Technology , 2002
  3. Abstract:
  4. The overall performance of a linear model predictive controller depends on proper adjustment of several design parameters. Most of these parameters have interdependent effects, which make their trial and error based tuning procedure very difficult. A systematic approach to overcome this problem is to reduce the number of adjustable parameters. This reduction is usually performed on the basis of sensitivity analysis, stability considerations or other objectives and constraints. The most reliable parameter, which can be independently tuned for performance improvement, is the control move suppression coefficient, λ. In this paper, some tuning rules for adjusting this parameter, on the basis of specific performance criteria, are introduced. These rules are obtained from numerical analysis of the controller performance and are, therefore, applicable regardless of the existence of an approximated first-order model. The capabilities of the rules are demonstrated using simulations of regular and adaptive Dynamic Matrix Controllers (DMCs)
  5. Keywords:
  7. Source: Scientia Iranica ; Volume 9, Issue 4 , 2002 , Pages 371-377 ; 10263098 (ISSN)
  8. URL: https://www.sid.ir/paper/289500/en