Fault-tolerant control of a ship propulsion system using model predictive control

Kerrigan, Eric C.; Maciejowski, Jan M.

doi:10.23919/ecc.1999.7100061

Cited by 15 publications

(11 citation statements)

References 4 publications

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“…Model predictive control (MPC) has been applied by researchers to obtain a level of fault-tolerance [64,[76][77][78][79]. MPC generates control inputs that are usually based on the objective of minimizing a cost function such as the integrated tracking error.…”

Section: Control Reconfigurationmentioning

confidence: 99%

Structural Technology Evaluation and Analysis Program (STEAP). Delivery Order 0037: Prognosis-Based Control Reconfiguration for an Aircraft with Faulty Actuator to Enable Performance in a Degraded State

Mahulkar¹

2010

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Section: Control Reconfigurationmentioning

confidence: 99%

Structural Technology Evaluation and Analysis Program (STEAP). Delivery Order 0037: Prognosis-Based Control Reconfiguration for an Aircraft with Faulty Actuator to Enable Performance in a Degraded State

Mahulkar¹

2010

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“…The forecast is then compared to the actual sensor measurement to identify sensor faults. Then, in [Kerrigan and Maciejowski (2015)], the authors deal with both process and sensor faults in marine propulsion systems. For the latter, a Kalman estimator technique is used to reconstruct the measurements of the faulty sensors.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Sensory Switching-stable Architecture for Distributed Fault Tolerant Propulsion Control of Marine Vessels

Kougiatsos¹,

Negenborn²,

Reppa³

2022

Preprint

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Nowadays, marine vessels constitute safety-critical assets facilitating the transport of millions of passengers and tons of cargo worldwide. As such, they require a large number of heterogeneous sensors dispersed in the various on-board machinery for operational and condition monitoring of their vital systems, such as the propulsion system. Despite the vast availability of data from on-board sensors, there is hardly any collaboration between the spatially distributed sensor devices to boost vessel performance. Up to this day, physical redundancy has been mostly discussed in maritime literature and has also been required by certain ship system design regulations. The use of virtual sensors (software-based) has not been properly investigated yet for maritime applications, despite their successful application in other fields like aircraft control and process control. This paper proposes a novel switching mechanism to alternate between physical and virtual sensors used in the primary propulsion control layer of marine vessels aiming to compensate for the effects of sensor faults. The switching mechanism focuses on ensuring the safe performance of the propulsion grid after the sensor faults occur. The software sensors are constructed using mathematical models describing the nonlinear dynamics of the propulsion system and the input and sensor output data. Simulation results are used to illustrate the switching mechanism's performance in the case of a hybrid propulsion system, where the different subsystems are controlled in a distributed configuration.

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“…As noted in [64], an MPC controller can be designed so that it has an intrinsic ability to handle jammed actuators without the need to explicitly model the failure. Structural failures can also be handled in a natural fashion by changing the internal model used to make prediction in either an adaptive fashion [52], a multi-model switching scheme [13] or by assuming an FDI scheme which provides a fault model [40,39,55,66]. An important issue when using MPC is the robustness with respect to model uncertainties.…”

Section: Model Predictive Controlmentioning

confidence: 99%

Fault Tolerant Flight Control - A Survey

Verhaegen

Kanev

Hallouzi³

et al. 2010

Lecture Notes in Control and Information Sciences

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Fault-tolerant control of a ship propulsion system using model predictive control

Cited by 15 publications

References 4 publications

Structural Technology Evaluation and Analysis Program (STEAP). Delivery Order 0037: Prognosis-Based Control Reconfiguration for an Aircraft with Faulty Actuator to Enable Performance in a Degraded State

Structural Technology Evaluation and Analysis Program (STEAP). Delivery Order 0037: Prognosis-Based Control Reconfiguration for an Aircraft with Faulty Actuator to Enable Performance in a Degraded State

A Multi-Sensory Switching-stable Architecture for Distributed Fault Tolerant Propulsion Control of Marine Vessels

Fault Tolerant Flight Control - A Survey

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