Reference Management for Fault-Tolerant Model Predictive Control

Almeida, Fabio A. de

doi:10.2514/6.2010-7704

Cited by 2 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The idea behind this scheme is that, after a fault event, the parameter θ(t) can be used to add an offset to the nominal system that automatically counteracts some of the effects of the fault. A similar approach has been proposed in [62]. A number of papers exploiting this idea have appeared.…”

Section: Governors and Fault Tolerant Controlmentioning

confidence: 99%

“…Another application of hybrid CG to aircraft flight control is presented in [97]. The paper [62] exploits reference command filtering to ensure that feasible commands are provided to an MPC-based aircraft controller. In [248] RGs, control allocation and failure mode handling are combined.…”

Section: Aerospace Systemsmentioning

confidence: 99%

“…Several control algorithms that integrate MPC with reference governing for setpoint manipulation have been recently proposed with the objective of avoiding constraint violations in transients due to setpoint changes, and enlarging the domain of attraction. Some of these strategies are based on a cascade of an RG with an MPC [62,70,85], while others, are based on a single algorithm that performs concurrently the setpoint optimization and the control of the plant in a so-called artificial setpoint-augmented MPC [90,177,183] that can be seen as the merging of MPC and RG in a single control scheme. Strategies that allow to shape the reference without online state feedback, and then applying MPC for tracking with guarantees that a pre-assigned bound on the tracking error is enforced have been also proposed in [66,67].…”

Section: Connections With Model Predictive Controlmentioning

confidence: 99%

See 2 more Smart Citations

Reference and command governors for systems with constraints: A survey on theory and applications

2017

View full text Add to dashboard Cite

Reference and command governors are add-on control schemes which enforce state and control constraints on pre-stabilized systems by modifying, whenever necessary, the reference. This paper surveys the extensive literature concerning the development of such schemes for linear and nonlinear systems. The treatment of unmeasured disturbances and parametric uncertainties is also detailed. Generalizations, including extended command governors, feedforward reference governors, reduced order reference governors, parameter governors, networked reference governors, and decentralized/distributed reference governors, are discussed. Practical applications of these techniques are presented and surveyed as well. A comprehensive list of references is included. Connections with related approaches, including model predictive control and input shaping, are discussed. Opportunities and directions for future research are highlighted.

show abstract

Section: Governors and Fault Tolerant Controlmentioning

confidence: 99%

Section: Aerospace Systemsmentioning

confidence: 99%

Section: Connections With Model Predictive Controlmentioning

confidence: 99%

See 1 more Smart Citation

Reference and command governors for systems with constraints: A survey on theory and applications

2017

View full text Add to dashboard Cite

show abstract

“…Integrating RHC and RG is investigated by researchers in order to avoid constraints violation in transient due to set-point change, enlarging the domain of attraction, and replacing the inadmissible steady state reference inputs with the nearest admissible manipulated values. For instance, advanced RHC simply cascades RG and RHC [12,14,15], while, some others merge RHC and RG in a single control scheme [1,33] which guarantee both the performance recovering without considering constraints as in RG while providing the flexibility properties as in RHC.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical decentralized reference governor using dynamic constraint tightening for constrained cascade systems

Aghaei

Daeichian

Puig

2020

Journal of the Franklin Institute

View full text Add to dashboard Cite

This paper proposes a hierarchical decentralized reference governor for constrained cascade systems. The reference governor (RG) approach is reformulated in terms of receding horizon strategy such that a locally receding horizon optimization is obtained for each subsystem with a preestablished prediction horizon. The algorithm guarantees that not only the nominal overall closedloop system without any constraint is recoverable but also the state and control constraints are satisfied in transient conditions. Also, considering unfeasible reference signals, the output of any subsystem goes locally to the nearest feasible value. The proposed dynamic constraint tightening strategy uses a receding horizon to reduce the conservatism of conventional robust RGs. Moreover, a decentralized implementation of the algorithms used to compute tightened constraints and output admissible sets is introduced that allow to deal with large scale systems. Furthermore, a set of dynamic constraints are presented to preserve recursive feasibility of distributed optimization problem. Feasibility, stability, convergence, and robust constraint satisfaction of the proposed algorithm are also demonstrated. The proposed approach is verified by simulating a system composed of three cascade jacketed continuous stirred tank reactors.

show abstract

Reference Management for Fault-Tolerant Model Predictive Control

Cited by 2 publications

References 22 publications

Reference and command governors for systems with constraints: A survey on theory and applications

Reference and command governors for systems with constraints: A survey on theory and applications

Hierarchical decentralized reference governor using dynamic constraint tightening for constrained cascade systems

Contact Info

Product

Resources

About