Eugen Iancu

Method for the analysing of blood glucose dynamics in diabetes mellitus patients

Blood glucose dynamics is a fundamental and indispensable concept in the management of the diabetes mellitus. The introduction in the medical practice of the blood glucose continuous monitoring systems has made possible the automated analyse of blood glucose dynamics. Along this paper the authors present the results of the combined time-frequency analysis for short-time periods applied to time series of the blood glucose for insulin dependent diabetes patients. We consider that such methods are necessary to extract the structural component, the pattern of blood glucose dynamics for each patient and to predict the trend of the glucose values. These findings may have significant clinical implication in diagnosis of the diabetes mellitus, in blood glucose monitoring and the management of the diabetes therapy.

Robust Control for Actuator Failures

Abstract In this note, the control of standard linear, time-invariant, multi-input multi-output feedback system is investigated in the presence of actuators failures. The authors studied one of the dangerous situation in control systems: the blocking of the actuators. Started from this situation the authors recommend usefully attitude in technological plants exploatation for preserving the stability and the minimal quality conditions. Stabilizing controllers are synthesized for at most one failure at a time.

Control Strategy Based on Sensitivity Analysis. Application for Anaerobic Digestion Bioprocess

System sensitivity analysis (SSA) is a mathematical method used in the study of behaviour of dynamic systems. From engineering practice is well known that a dynamic system did not respond in the same way to all external stimulus (command or disturbance). The results of SSA study for anaerobic digestion bioprocess, provides important information for synthesis of control system. Also, it is possible to estimate, by simulation, quantitative changes for the system variables in the case of changes in internal structure.

Some control methods for a photoautotrophic growth bioprocess

The control of bioprocesses remains an inherently complex problem. Specialists efforts are directed towards ensuring stability and process efficiency. The necessity to obtain performances without installing a lot of redundant and dedicated expensive equipment, forces the developers to use the techniques available to processing all the information that are “hidden” in the bioprocess and to compensate the uncertain and time varying of parameters. This paper presents the design of some control methods, able to deal with the uncertainties, for a complex photoautotrophic growth bioprocess. To develop an efficiency control law it is necessary to estimate the real values of the inputs. Specifically, the methods proposed in the paper, allowing the assessment of carbon dioxide flow, input into the photobioreactor with a high degree of uncertainty.

Predictive control of blood glucose in diabetes mellitus patients

The blood glucose control is a significant part of the medical practice regarding diabetes and critically ill patients. This paper presents a time-delay model of the cardio-vascular system implemented in a predictive control structure for the controlling of the blood glucose level. The Smith predictor was used in order to synthesise the control law.

Fault detection and isolation based on system feedback

This paper present a method to detect the transducers fault in the close loop control systems. The necessities imposed for the fault detection algorithm are: rapid answer in the case of fault, which comes out; the diminution of the risk to come out false alarms; lower effort calculation. In the paper are presented the equations of fault detection structure that suggest the software algorithms. In last part of the paper, the algorithm was verified on the steam overhead equations, developed in this paper.

An analytical method for fault detection and isolation

The fault detection and isolation (FDI) problem is an inherently complex one. The process control requires data management for a strategically behaviour and the uninterrupted maintenance. So, it is necessary to assure the systempsilas safety and availability. In this paper, the author proposes a practical design method useful in control and supervising of control system in presence of process faults. This paper proposes to solve the FDI problem by developing a model-based approach using a parity equation. The procedures was applied to detect the failed sensor or failed actuator and suppose the use of mathematical model of process and the correlation (covariance) function calculated in real time between the signals, which represent the commands, and the measurements. The fault detection and isolation represents the next level up necessary for the realisation of robust and fault tolerant systems.

Faults digital library in burning process

In this paper was developed a faults library for the steam boiler, the accent being on the study of the situations when faults occur in the burning process (furnace). This library is used in the monitoring and control system, the main object consisting in detection and localization of different faults. The system realise the fault detection in real time, comparison the process response with the response of the other models from the digital library and when are applied the same commands or signals in the same mode that in real process. In the last two sections of the paper was developed the application of fault detection algorithm based on plant model of burning process (included in this paper) and graphical results of fault detection experiments.

FAULT DETECTION METHODS FOR TWO INPUTS AND TWO OUTPUTS CONTROL SYSTEMS

Abstract This paper developing two inputs and two outputs control systems a structure for fault detection and localization using actuators fault detection that can inform the operator about the faults following actuators blocking or changes in the burning process and heat transfer conditions and developing a simplified lumped parameters model that approximates the distributed parameters structure of steam superheaters.

Analytical methods for fault detection in power plants

Abstract Early detection of a fault or damage at power plants is crucial for their control and maneuvering. In this paper, the author proposes a practical design method useful in the supervising of the system in presence of process faults. The fault detection and isolation (FDI) problem is an inherently complex one. The immediate goals is to preserve the stability of process and, if is possible, to control the process in a slightly degraded manner.