D evelopment and Testing of a Closed Loop Feedback Controlled Magnetorheological Fluid Anti-vibration Mount for Onboard Naval Applications

2016 ◽  
Vol 66 (4) ◽  
pp. 374
Author(s):  
Reji John ◽  
Shiv Kumar
Keyword(s):  
Closed Loop ◽  
Control Mechanism ◽  
Magnetorheological Fluid ◽  
Feedback Mechanism ◽  
Vibration Sensor ◽  
Electromagnetic Properties ◽  
Mr Fluid ◽  
At Resonance ◽  
Loop Feedback ◽  
Closed Loop Feedback

An intelligent semi-active anti-vibration mount using a magnetorheological (MR) fluid is designed and developed for onboard applications. The mount consists of a load bearing elastomer, MR fluid chamber; MEMS based vibration sensor and a controller for closed loop feedback mechanism. The controller regulates the solenoid current in the MR fluid chamber, which in turn regulates the flow of MR fluid through the valve. Comparison of the performance of MR mount with a passive resilient rubber mount shows that the former provides 7 dB extra damping at resonance compared to the later and the isolation of MR mount starts at 10 Hz compared to 50 Hz by rubber mount. This mount can operate in real time, passive and active modes by using a closed loop feedback control mechanism. The efficacy of the mount for outdoor applications is evaluated by characterizing the mechanical, environmental, electrical and electromagnetic properties as per MIL-17185, JSS-55555 and IEC 61000 standards and found to be superior compared to passive mounts. The mount is being evaluated for onboard applications in INS Ranvijay.

scholarly journals Closed Loop Feedback Mechanism Effect Pilot Investigation on Manual Assembly Time and Process Variation

2020 ◽  
Vol 48 ◽  
pp. 95-104
Author(s):  
Matthew Krugh ◽  
Ravi Shankar Garimella ◽  
Adithya Baburaj ◽  
Ethan Wescoat ◽  
Laine Mears
Keyword(s):  
Closed Loop ◽  
Process Variation ◽  
Feedback Mechanism ◽  
Manual Assembly ◽  
Assembly Time ◽  
Pilot Investigation ◽  
Loop Feedback ◽  
Closed Loop Feedback

scholarly journals Wave Detection of Acceleration Plethysmogram Based on a Closed Loop Feedback Mechanism

2020 ◽  
Vol 9 (7) ◽  
pp. 215-220
Keyword(s):  
Closed Loop ◽  
Control Mechanism ◽  
Extreme Values ◽  
Light Emitting Diode ◽  
Statistical Significance ◽  
Detection Algorithm ◽  
Amplitude Control ◽  
Wave Detection ◽  
Loop Feedback ◽  
Closed Loop Feedback

Acceleration plethysmogram (APG), which corresponds to the second derivative of the photoplethysmogram (PPG) is a noninvasive method for investigating arterial wall thickness and predicting cardiovascular diseases. To perform an APG wave analysis, five inflection points of the APG waveform (a, b, c, d, and e waves) must be successfully obtained. However, an abrupt change in PPG amplitude due to various physiological conditions and patient’s movement has made it very difficult to detect the five waves of the APG waveform in real time. Therefore, to resolve this problem, two stabilization methods for PPG and APG amplitudes were proposed based on a closed-loop feedback amplitude control mechanism. The regulation of PPG amplitude was rapidly carried out in four cardiac cycles by controlling the driving current to a light emitting diode (LED) through pulse width modulation (PWM). Two predetermined amplitude levels were applied to adjust the 1st and the 2nd derivatives of the PPG simultaneously when the wave detection algorithm failed to detect even one of five waves. Forty measurements of the APG signal on an index fingertip were performed to verify a closed-loop feedback amplitude control mechanism (CLFACM). The values of the t statistic (statistical significance) for the a, b, c, d, and e wave groups were 1.08292 (p=0.2855), 0.19607 (p=0.8456), 0.28955 (p=0.7737), 0.39467 (p=0.69467), and 0.50973 (p=0.6131), respectively. To identify waves of extreme values away from normality, the coefficient of kurtosis was obtained; the smallest value was obtained for the d wave (0.07335), and the largest value was obtained for the e wave (3.9456). The results suggested that the in-group waves did not significantly differ. The CLFACM played an important role in increasing the success rate of accurately detecting five waves from the APG signal.

Closed-loop feedback control of microfluidic cell manipulation via deep-learning integrated sensor networks

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Ningquan Wang ◽  
Ruxiu Liu ◽  
Norh Asmare ◽  
Chia-Heng Chu ◽  
Ozgun Civelekoglu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Sensor Networks ◽  
Feedback Control ◽  
Closed Loop ◽  
Microfluidic System ◽  
Cell Manipulation ◽  
Integrated Sensor ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
On Chip

An adaptive microfluidic system changing its operational state in real-time based on cell measurements through an on-chip electrical sensor network.

scholarly journals Artificial Cutaneous Sensing of Object Slippage using Soft Robotics with Closed‐Loop Feedback Process

Small Science ◽  
2021 ◽  
pp. 2100002
Author(s):  
Tomohito Sekine ◽  
Yi-Fei Wang ◽  
Jinseo Hong ◽  
Yasunori Takeda ◽  
Reo Miura ◽  
...  
Keyword(s):  
Closed Loop ◽  
Soft Robotics ◽  
Feedback Process ◽  
Loop Feedback ◽  
Closed Loop Feedback

Development of a laparoscopic surgical skills simulation curriculum: Enhancing resident training through directed coaching and closed-loop feedback

Surgery ◽  
2021 ◽  
Author(s):  
Brendan P. Lovasik ◽  
Katherine T. Fay ◽  
Ankit Patel ◽  
Jamil Stetler ◽  
Dominic Papandria ◽  
...  
Keyword(s):  
Closed Loop ◽  
Resident Training ◽  
Surgical Skills ◽  
Loop Feedback ◽  
Closed Loop Feedback
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