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. ISSN 0020-7179Full text not available from this repository.
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.
|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|
|Deposited By:||Dr C. James Taylor (Engineering)|
|Deposited On:||25 Jun 2010 10:31|
|Last Modified:||29 Mar 2017 03:13|
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