Lancaster EPrints

Multi-objective performance optimisation for model predictive control by goal attainment

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: 24 Jan 2014 05:18
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/33752

Actions (login required)

View Item