Integrated Prognostics Observer for Condition Monitoring of an Automated Manual Transmission Dry Clutch System

The closed loop feedback control system of an Automated Manual Transmission (AMT) electro-pneumatic clutch actuator is used for intelligent real time condition monitoring, enhanced diagnostics and prognostic health management of the dry clutch system, by integrating with the existing gearbox prognostics observer. The real-time sensor data of the clutch actuator piston position is analyzed for monitoring the condition of the clutch system. Original parameters of the new clutch are stored in the Electrically Erasable Programmable Read-only Memory (EEPROM) of the AMT controller and the real-time data is used by the observer for assessing the degradation/wear of the frictional clutch parts. Also, clutch slip during torque transmission is monitored, using the engine speed and the gearbox input shaft speed from Controller Area Network (CAN). Condition monitoring of clutch system provides enhanced prognostic functionality for AMT system which ensures consistent clutch performance, gear shift quality and timely warning for recalibration, repair and/or replacement of the critical wear and tear parts. Also, systematic analysis of the monitored data provides an accurate diagnosis of a developing fault. Thus, with the advanced control systems in place for AMT, a closed loop feedback based condition monitoring system is modelled for improved diagnostics and prognostics of AMT clutch system.

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Development of a closed-loop feedback system for real-time control of a high-dimensional Brain Machine Interface

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/embc.2012.6346983 ◽

2012 ◽

Cited By ~ 1

Author(s):

D. Putrino ◽

Y. T. Wong ◽

M. Vigeral ◽

B. Pesaran

Keyword(s):

Real Time ◽

Closed Loop ◽

Feedback System ◽

High Dimensional ◽

Brain Machine Interface ◽

Real Time Control ◽

Time Control ◽

Loop Feedback ◽

Machine Interface ◽

Closed Loop Feedback

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Study of a real-time adaptive control using closed loop feedback in integrated voltage and reactive power compensation control

7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006) ◽

10.1049/cp:20062152 ◽

2006 ◽

Author(s):

Leung Chun Sing ◽

Yuen Kwok Hoo

Keyword(s):

Adaptive Control ◽

Real Time ◽

Closed Loop ◽

Reactive Power ◽

Reactive Power Compensation ◽

Compensation Control ◽

Loop Feedback ◽

Closed Loop Feedback

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Decision letter: Real-time, low-latency closed-loop feedback using markerless posture tracking

10.7554/elife.61909.sa1 ◽

2020 ◽

Author(s):

Gordon J Berman ◽

Tiago Branco

Keyword(s):

Real Time ◽

Closed Loop ◽

Low Latency ◽

Loop Feedback ◽

Closed Loop Feedback ◽

Posture Tracking

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Frequency-locked light scattering: real-time Doppler velocimetry with closed-loop feedback control

Applied Optics ◽

10.1364/ao.37.001617 ◽

1998 ◽

Vol 37 (9) ◽

pp. 1617 ◽

Cited By ~ 4

Author(s):

Jay H. Grinstead ◽

Noah D. Finkelstein ◽

Walter R. Lempert

Keyword(s):

Light Scattering ◽

Feedback Control ◽

Real Time ◽

Closed Loop ◽

Doppler Velocimetry ◽

Loop Feedback ◽

Closed Loop Feedback

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SU-FF-J-132: A Novel Technique for Closed-Loop Feedback Real-Time Tracking by Controlling Dose Rate : A Parametric Study

Medical Physics ◽

10.1118/1.2760637 ◽

2007 ◽

Vol 34 (6Part7) ◽

pp. 2398-2399 ◽

Cited By ~ 1

Author(s):

Y Han-Oh ◽

B Yi ◽

F Lerma ◽

B Berman ◽

C Yu

Keyword(s):

Dose Rate ◽

Real Time ◽

Parametric Study ◽

Closed Loop ◽

Novel Technique ◽

Loop Feedback ◽

Real Time Tracking ◽

Closed Loop Feedback

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A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies—Related Issues and Future Directions

Sensors ◽

10.3390/s20102770 ◽

2020 ◽

Vol 20 (10) ◽

pp. 2770

Author(s):

Jinyoung Choi ◽

Moonyoung Kwon ◽

Sung Chan Jun

Keyword(s):

Real Time ◽

Closed Loop ◽

Brain Activity ◽

Feedback Systems ◽

Closed Loop System ◽

Future Directions ◽

Sleep Studies ◽

Loop Feedback ◽

Technical Issues ◽

Closed Loop Feedback

Advances in computer processing technology have enabled researchers to analyze real-time brain activity and build real-time closed-loop paradigms. In many fields, the effectiveness of these closed-loop protocols has proven to be better than that of the simple open-loop paradigms. Recently, sleep studies have attracted much attention as one possible application of closed-loop paradigms. To date, several studies that used closed-loop paradigms have been reported in the sleep-related literature and recommend a closed-loop feedback system to enhance specific brain activity during sleep, which leads to improvements in sleep’s effects, such as memory consolidation. However, to the best of our knowledge, no report has reviewed and discussed the detailed technical issues that arise in designing sleep closed-loop paradigms. In this paper, we reviewed the most recent reports on sleep closed-loop paradigms and offered an in-depth discussion of some of their technical issues. We found 148 journal articles strongly related with ‘sleep and stimulation’ and reviewed 20 articles on closed-loop feedback sleep studies. We focused on human sleep studies conducting any modality of feedback stimulation. Then we introduced the main component of the closed-loop system and summarized several open-source libraries, which are widely used in closed-loop systems, with step-by-step guidelines for closed-loop system implementation for sleep. Further, we proposed future directions for sleep research with closed-loop feedback systems, which provide some insight into closed-loop feedback systems.

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Finite Element Analyses of Real-Time Stability Control in Sheet Forming Processes

Journal of Engineering Materials and Technology ◽

10.1115/1.2904159 ◽

1992 ◽

Vol 114 (2) ◽

pp. 180-188 ◽

Cited By ~ 29

Author(s):

H. B. Sim ◽

M. C. Boyce

Keyword(s):

Finite Element ◽

Real Time ◽

Deformation Process ◽

Closed Loop ◽

Real Time Control ◽

Forming Process ◽

Time Control ◽

Control Schemes ◽

Loop Feedback ◽

Closed Loop Feedback

Sheet metal forming processes involve the plastic deformation of a sheet of material into a desired shape. In practice, the uncontrolled variation of boundary and material conditions have made the continual reproducibility of a sheet forming process a very difficult operation. Recently, real-time control schemes based on simplified models of “average” in-process stresses and/or strains have provided a repeatability of end product quality in terms of final shape, failure modes, and/or material state. The success of these control schemes have warranted a more detailed investigation into the complete physics of the deformation process. This study takes one such operation, the axisymmetric cup-forming process, and conducts an off-line detailed analysis using the finite element method in order to obtain information on the state of the material during the deformation process. In our analysis, actual closed-loop feedback control laws which have previously been applied in experiments have been numerically simulated with a novel method of modifying the boundary conditions based on current conditions. This has lead to further understanding of the role of the control law in optimizing draw failure height. Our further investigation and analysis directly incorporates the predicted localized nature of failure of this process into the feedback loop and has lead to the construction of an improved control algorithm which has the potential of dramatically increasing the failure height and which can be used in on-line control of the process. The study clearly demonstrates the utility and power of using off-line detailed analyses which incorporate closed-loop feedback laws to obtain a better understanding of the physics of the deformations which occur during processing, and thereby greatly improve upon the algorithms which are used for real time control of forming or other processing.

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