Exadaktylos, Vasileios and Taylor, C. James (2010) Multi-objective performance optimisation for model predictive control by goal attainment. International Journal of Control, 83 (7). pp. 1374-1386.
Full text not available from this repository.Abstract
This paper proposes an approach for performance tuning of Model Predictive Control (MPC) using goal-attainment optimisation of the cost function weighting matrices. The approach is developed for three formulations of the control problem: (i) minimal and (ii) non-minimal design based on the same cost function; and (iii) a non-minimal MPC approach with an explicit integral-of-error state variable and modified cost function. This approach is based on earlier research into multi-objective optimisation for Proportional-Integral-Plus (PIP) control systems. Simulation experiments for a 3-input, 3-output Shell Heavy Oil Fractionator model illustrate the feasibility of MPC goal-attainment for multivariable decoupling and attainment of a specific output response. For this example, the integral-of-error state variable offers improved design flexibility and hence, when it is combined with the proposed tuning method, yields an improved closed loop response in comparison to minimal MPC.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | International Journal of Control |
| Uncontrolled Keywords: | Model Predictive Control ; Non-Minimal State Space ; Optimal Controller Tuning ; Decoupling |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Departments: | Faculty of Science and Technology > Engineering |
| ID Code: | 33752 |
| Deposited By: | Dr C. James Taylor (Engineering) |
| Deposited On: | 25 Jun 2010 10:31 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 17:27 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/33752 |
Actions (login required)
| View Item |
