Model predictive control (MPC) is a favored method for handling constrained linear control problems. Normally, the MPC optimization problem is solved on-line, but in ‘explicit MPC’ an explicit precomputed feedback law is used for each region of active constraints (Bemporad et al., 2002). In this paper we make a link between this and the ‘self-optimizing control’ idea of finding simple policies ...

A new method for selecting controlled variables (c) as linear combination of measurements (y) is proposed based on the idea of self-optimizing control. The objective is to find controlled variables, such that a constant setpoint policy leads to near optimal operation in the presence of low frequency disturbances (d). We propose to combine as many measurements as there are unconstrained degrees ...

In this paper, a new method for the identification of self-optimizing control structure designs (CSDs) based on generalized singular value decomposition (GSVD) is proposed. The method is primarily dedicated to find optimal CSDs where all controlled variables (CVs) are represented by a common set of linear combinations of process variables (PVs). It is shown that the implementation of the GSVD i...

*Department of Chemical Engineering Norwegian Science and Technological University, Trondheim 7032. _____________________________________________________________________ Abstract In order to facilitate the optimal operation in the presence of process disturbances, the optimal selection of controlled variables plays a vital role. In this paper, we present a Mixed Integer Quadratic Programming me...

A heat-integrated prefractionator arrangement is studied for a ternary separation of a propane–butane–pentane mixture. These types of integrated prefractionator arrangements have large energy savings compared with the best of the direct or indirect sequence with no heat integration. However, a heat-integrated distillation system can be more difficult to control than a non-integrated arrangement...

1. Design challenges of self-optimizing mechatronic systems The term mechatronics expresses the mergence of technologies from mechanical engineering, electronics and control design in modern industrial products. These innovative products are based on the combined effect of mechatronic system elements (also referred to as "solution elements" [GL00]). Future systems will comprise configurations o...

Controlled variables selection based on economic objectives using self optimizing concepts are developed. In this paper, we extend the self optimizing control ideas to find optimal controlled variables in the regulatory layer. The regulatory layer is designed to facilitate stable operation, to regulate and to keep the operation in the linear operating range and its performance is here quantifie...