MPC-Based Sensor Fault-Tolerant Control: Application to a Heat Exchanger with Measurement Noise
The present paper addresses the design of a fault-tolerant control (FTC) system based on model predictive control (MPC) that aims to deal with sensor additive faults. The main contribution of this work lies in an FTC design for systems with measurement noise composed of a fault estimator, observers for fault reconfiguration, a reconfiguration unit, and an MPC. The proposed FTC uses a linearized plant model with measurement noise and sensor faults in the design procedure. Simulation results with constant and time-varying faults are presented to validate the performance of the FTC, considering a non-linear heat exchanger model.
Authors
- Felipe D. J. Sorcia‐Vázquez (ORCID: https://orcid.org/0000-0001-7835-8916)
- Jorge Aurelio Brizuela Mendoza (ORCID: https://orcid.org/0000-0002-7952-0337)
- Moises Ramos-Martinez (ORCID: https://orcid.org/0000-0002-8322-0871)
- Carlos Alberto Torres-Cantero (ORCID: https://orcid.org/0000-0002-4213-9540)
- Jesse Yoe Rumbo Morales (ORCID: https://orcid.org/0000-0002-3790-7277)
- Gerardo Ortíz-Torres (ORCID: https://orcid.org/0000-0003-0885-6391)
- Alan Francisco Pérez-Vidal (ORCID: https://orcid.org/0000-0003-0833-6855)
Institutions
- Universidad de Guadalajara (MX)
- Tecnológico Nacional de México (MX)
- Universidad de Colima (MX)
Publication Details
- Journal
- Automation
- Published
- 2025-09-18
- DOI
- https://doi.org/10.3390/automation6030048
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00