Integrated fault estimation and fault-tolerant control for constrained LPV systems subject to bounded disturbances

• Published in: Journal of process control Vol. 145; p. 103343
• Main Authors: Rotondo, Damiano, Pazera, Marcin, Witczak, Marcin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2025
• Subjects: Fault estimation (FE); Fault-tolerant control (FTC); Linear matrix inequalities (LMIs); Linear parameter varying (LPV) systems; Model predictive control (MPC); Quadratic boundedness (QB); Linear parameter varying (LPV) systems; Model predictive control (MPC); Quadratic boundedness (QB); Fault estimation (FE); Linear matrix inequalities (LMIs); Fault-tolerant control (FTC)
• ISSN: 0959-1524
• DOI: 10.1016/j.jprocont.2024.103343

The paper deals with the issue of integrating fault estimation and fault-tolerant control for constrained continuous-time linear parameter varying systems with ellipsoidally bounded external disturbances. The unappealing effect related to the above coupling is that control and estimation influence each other. Thus, the main goal is to prevent such an unacceptable performance of the controlled system by providing a new integration strategy. The proposed framework is based on an output feedback approach, which is based on two staged: off-line – a low-complexity optimization task related to the fault estimation and control based on linear matrix inequalities, as well as on-line – a deterministic model predictive control for linear parameter-varying system. The effectiveness of this two-stage approach is illustrated with simulations based on a quadruple tank system. [Display omitted] •A proposed output feedback FTC allows tracking of the reference system under time-varying input and state limitations.•We propose relaxed existence criteria of integrated FTC for systems with constraints.•The suggested strategy consists of two stages: off-line involves resolving a low-complexity LMI-based optimization challenge, while on-line involves resolving a model predictive control issue based on quadratic programming.