| Full text | |
| Author(s): |
Palma, Jonathan M.
;
Morais, Cecilia F.
;
Garces, Hugo O.
;
Carvalho, Leonardo de P.
;
Oliveira, Ricardo C. L. F.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | ISA TRANSACTIONS; v. 120, p. 10-pg., 2022-01-01. |
| Abstract | |
This paper proposes a new filtering scheme applied to a linearized model of a nonlinear representation for combustion systems, whose parameters are obtained by means of optical sensors. To ensure a robust representation regarding the chosen operation point and external disturbances variations, a linear parameter-varying (LPV) state-space representation is proposed in terms of noise disturbances and time-varying parameters affecting the plant (like the instrumentation noise and non-laminar air flow). Concerning the proposed filtering scheme, a new observer structure, which includes the incorporation of the control signal as an additional input of the filter, is proposed to assure improved stability margins and performance given in terms of the H-infinity norm. The filter design method is based on a convex optimization technique and is capable to deal with unstable dynamics. A numerical experiment, whose data were obtained from an actual combustion plant, illustrates the flexibility and advantages of the method when compared with the maximum correntropy criterion based Kalman filter, the full-order filter and the standard Luenberger observer. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 17/18785-5 - Parameter-Dependent Linear Matrix Inequalities Applied to Stability Analysis and Synthesis of Controllers and Filters for Uncertain Dynamic Systems |
| Grantee: | Pedro Luis Dias Peres |
| Support Opportunities: | Regular Research Grants |