Design of Supervisory Control System for Ventricular Assist Device

Cavalheiro, André; Fo., Diolino Santos; Andrade, Aron; Cardoso, José Roberto; Bock, Eduardo; Fonseca, Jeison

doi:10.1007/978-3-642-19170-1_41

Cited by 7 publications

(2 citation statements)

References 9 publications

(8 reference statements)

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“…Therefore, with a VAD with no fault tolerance and no dynamic behavior that adapts to the performance conditions of the cardiovascular system, serious limitations are observed in the results of this application [6]. Thus, this work proposes the application of a mechatronic approach to this class of devices based on advanced control, instrumentation, and automation techniques [11]. These techniques allow in a systematic way to consider in the control architecture the limitations of the current solutions.…”

Section: Research Motivationmentioning

confidence: 99%

Safety Control Architecture for Ventricular Assist Devices

et al. 2021

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In patients with severe heart disease, the implantation of a ventricular assist device (VAD) may be necessary, especially in patients with an indication for heart transplantation. For this, the Institute Dante Pazzanese of Cardiology (IDPC) has developed an implantable centrifugal blood pump that will be able to help a diseased human heart to maintain physiological blood flow and pressure. This device will be used as a totally or partially implantable VAD. Therefore, performance assurance and correct specification of the VAD are important factors in achieving a safe interaction between the device and the patient’s behavior or condition. Even with reliable devices, some failures may occur if the pumping control does not keep up with changes in the patient’s behavior or condition. If the VAD control system has no fault tolerance and no system dynamic adaptation that occurs according to changes in the patient’s cardiovascular system, a number of limitations can be observed in the results and effectiveness of these devices, especially in patients with acute comorbidities. This work proposes the application of a mechatronic approach to this class of devices based on advanced control, instrumentation, and automation techniques to define a method to develop a hierarchical supervisory control system capable of dynamically, automatically, and safely VAD control. For this methodology, concepts based on Bayesian networks (BN) were used to diagnose the patient’s cardiovascular system conditions, Petri nets (PN) to generate the VAD control algorithm, and safety instrumented systems to ensure the safety of the VAD system.

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Section: Research Motivationmentioning

confidence: 99%

Safety Control Architecture for Ventricular Assist Devices

et al. 2021

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“…This approach considers the cause of the fault, its severity and its consequence for the system, through the application of risk analysis techniques such as Failure Modes and Event Analysis -FMEA, Fault Tree Analysis -FTA [13], and the What-If technique [14], based on a database of occurrence of faults or on knowledge of an expert or operator. The effects and the consequences of the occurrence of a critical fault, listed on the risk analyses study, are monitored and treated by the SIS sensors and actuators, respectively, independently of the BPCS devices, as predicts the IEC 61508 [15], [16]. The effect of every critical fault, or safety instrumented function (SIF), results in mitigation actions, determined by the What-If technique yet implemented.…”

Section: Introductionmentioning

confidence: 99%

Mitigation Control of Critical Faults in Production Systems

Souza¹,

Fo²,

Squillante³

et al. 2014

Technological Innovation for Collective Awareness Systems

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The inherent complexity of critical production systems, coupled with policies to preserve people´s safety and health, environmental management, and the facilities themselves, and stricter laws regarding the occurrence of accidents, are the motivation to the design of Safety Control Systems that leads the mitigation functionality. According to experts, the concept of Safety Instrumented Systems (SIS) is a solution to these types of issues. They strongly recommend layers of risk reduction based on hierarchical control systems in order to manage risks, preventing or mitigating faults, and to lead the process to a safe state. Additionally some of the safety standards such as IEC 61508, IEC 61511, among others, guide different activities related Safety Life Cycle design of SIS. The IEC 61508 suggests layers of critical fault prevention and critical fault mitigation. In the context of mitigation control system, the standard provides a recommendation of activities to mitigate critical faults, by proposing control levels of mitigation. This paper proposes a method to implement the mitigation layer based on the risk analysis of the plant and the consequences of faults of its critical components. The control architecture, based on distributed and hierarchical control systems in a collaborative way, will make use of the techniques of risk analysis raised and mitigation actions, based on the knowledge of an expert, implemented by fuzzy logic.

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