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Economic Performance Assessment
An economic performance assessment tool using linear matrix inequality performance assessment (LMIPA) was developed in MATLAB® to allow easy performance assessment of control loops using advanced process control techniques, such as model predictive control (MPC) and to incorporate the assessment of economic constraints on the system. programme was developed by the Computer Process Control Group at the University of Alberta.
In economic performance assessment, not only is the performance of the controller analysed, but also the appropriateness of the constraints placed on the system. The assessment is performed using an optimisation algorithm that determines the potential benefit if the constraint bounds are changed by a predetermined value. The potential benefit is compared with the current value of the benefit.
The algorithm used by programme can be stated in the following steps:
- First, gather routine operating data Y, the output, and U, the input.
- Calculate the ideal benefit potential and the current benefit potential using an optimisation algorithm.
- Set the desired economic benefit potential.
- Perform sensitivity analysis of the economic constraints using an optimisation algorithm.
- Analysis the resulting values to determine where there is a potential for process improvement.
Manual
The manual for using the toolbox can be found here.
System Requirements
This programme has the following prerequisites:
- Windows XP or newer. The optimisation subroutines should work on both 32- and 64-bit Windows.
- MATLAB® 2010a or newer. The programme has not been tested on older versions of MATLAB®.
- System Identification Toolbox from MATLAB®.
Download
The files can be downloaded from the Downloads section.
Developers
This software has been developed by the following people:
References
- Kwan Ho Lee, Biao Huang, and Edgar C. Tamayo (2008). “Sensitivity analysis for selective constraint and variability tuning in performance assessment of industrial MPC” in Control Engineering Practice Volume 16, pp. 1195-1215. doi:10.1016/j.conengprac.2008.01.007