Abstract
This paper proposes piecewise affine (PWA) virtual sensors for the estimation of unmeasured variables of nonlinear systems with unknown dynamics. The estimation functions are designed directly from measured inputs and outputs and have two important features. First, they enjoy convergence and optimality properties, based on classical results on parametric identification. Second, the PWA structure is based on a simplicial partition of the measurement space and allows one to implement very effectively the virtual sensor on a digital circuit. Due to the low cost of the required hardware for the implementation of such a particular structure and to the very high sampling frequencies that can be achieved, the approach is applicable to a wide range of industrial problems.
| Original language | English |
|---|---|
| Article number | 5936726 |
| Pages (from-to) | 1228-1237 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 59 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 1 2012 |
Funding
Manuscript received December 21, 2010; revised April 12, 2011; accepted June 10, 2011. Date of publication June 30, 2011; date of current version October 18, 2011. This work was supported in part by the European Commission through Project MOBY-DIC “Model-based synthesis of digital electronic circuits for embedded control” under Grant FP7-INFSO-ICT-248858, http://www.mobydic-project.eu.
Keywords
- Digital circuits
- nonlinear observers
- piecewise affine (PWA) functions
- virtual sensors
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering