Loading...

Enlarging the region of stability in robust model predictive controller based on dual-mode control

Khani, F ; Sharif University of Technology | 2021

413 Viewed
  1. Type of Document: Article
  2. DOI: 10.1177/01423312211012362
  3. Publisher: SAGE Publications Ltd , 2021
  4. Abstract:
  5. Industrial processes are inherently nonlinear with input, state, and output constraints. A proper control system should handle these challenging control problems over a large operating region. The robust model predictive controller (RMPC) could be an linear matrix inequality (LMI)-based method that estimates stability region of the closed-loop system as an ellipsoid. This presentation, however, restricts confident application of the controller on systems with large operating regions. In this paper, a dual-mode control strategy is employed to enlarge the stability region in first place and then, trajectory reversing method (TRM) is employed to approximate the stability region more accurately. Finally, the effectiveness of the proposed scheme is illustrated on a continuous stirred tank reactor (CSTR) process. © The Author(s) 2021
  6. Keywords:
  7. Closed loop systems ; Linear matrix inequalities ; Model predictive control ; Predictive control systems ; Robust control ; Stability ; Continuous stirred tank reactor (CSTR) process ; Control problems ; Dual mode control strategy ; Dual-mode control ; Industrial processs ; Operating regions ; Region of stabilities ; Stability regions ; Controllers
  8. Source: Transactions of the Institute of Measurement and Control ; Volume 43, Issue 14 , 2021 , Pages 3085-3092 ; 01423312 (ISSN)
  9. URL: https://journals.sagepub.com/doi/abs/10.1177/01423312211012362