Abstract
This paper is focused on the theoretical development and the hardware implementation of low-complexity piecewise-affine direct virtual sensors for the estimation of unmeasured variables of interest of nonlinear systems. The direct virtual sensor is designed directly from measured inputs and outputs of the system and does not require a dynamical model. The proposed approach allows one to design estimators which mitigate the effect of the so-called curse of dimensionality of simplicial piecewise-affine functions, and can be therefore applied to relatively high-order systems, enjoying convergence and optimality properties. An automatic toolchain is also presented to generate the VHDL code describing the digital circuit implementing the virtual sensor, starting from the set of measured input and output data. The proposed methodology is applied to generate an FPGA implementation of the virtual sensor for the estimation of vehicle lateral velocity, using a hardware-in-the-loop setting.
Original language | English |
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Pages (from-to) | 622-632 |
Number of pages | 11 |
Journal | International Journal of Control |
Volume | 87 |
Issue number | 3 |
DOIs | |
Publication status | Published - Mar 4 2014 |
Funding
This work was partially supported by the European Commission under project FP7-CNECT-ICT-248858 ‘MOBY-DIC - Model-based synthesis of digital electronic circuits for embedded control’ (http://www.mobydic-project.eu/) and by the University of Genoa.
Keywords
- digital circuits
- nonlinear observers
- piecewise-affine functions
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications