scholarly journals Self-Calibration and Performance Control of MEMS with Applications for IoT

2020 ◽  
Author(s):  
Jason Clark
Keyword(s):  
Performance Control ◽  
Self Calibration ◽  
And Performance

scholarly journals Self-Calibration and Performance Control of MEMS with Applications for IoT

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4411 ◽  
Author(s):  
Jason Clark
Keyword(s):  
Microelectromechanical Systems ◽  
Pressure Sensors ◽  
Process Variations ◽  
Absolute Temperature ◽  
Performance Control ◽  
Thermally Induced ◽  
Self Calibration ◽  
Sensing Applications ◽  
Thermally Induced Vibrations ◽  
And Performance

A systemic problem for microelectromechanical systems (MEMS) has been the large gap between their predicted and actual performances. Due to process variations, no two MEMS have been able to perform identically. In-factory calibration is often required, which can represent as much as three-fourths of the manufacturing costs. Such issues are challenges for microsensors that require higher accuracy and lower cost. Towards addressing these issues, this paper describes how microscale attributes may be used to enable MEMS to accurately calibrate themselves without external references, or enable actual devices to match their predicted performances. Previously, we validated how MEMS with comb drives can be used to autonomously self-measure their change in geometry in going from layout to manufactured, and we verified how MEMS can be made to increase or decrease their effective mass, damping, and or stiffness in real-time to match desired specifications. Here, we present how self-calibration and performance control may be used to accurately sense and extend the capabilities of a variety of sensing applications for the Internet of things (IoT). Discussions of IoT applications include: (1) measuring absolute temperature due to thermally-induced vibrations; (2) measuring the stiffness of atomic force microscope or biosensor cantilevers; (3) MEMS weighing scales; (4) MEMS gravimeters and altimeters; (5) inertial measurement units that can measure all four non-inertial forces; (6) self-calibrating implantable pressure sensors; (7) diagnostic chips for quality control; (8) closing the gap from experiment to simulation; (9) control of the value of resonance frequency to counter drift or to match modes; (10) control of the value of the quality factor; and (11) low-amplitude Duffing nonlinearity for wideband high-Q resonance.

TEMPERATURE MODELING OF GaAs DCFL

1992 ◽  
Vol 03 (02) ◽  
pp. 171-199 ◽  
Author(s):  
JEFF CONGER ◽  
ANDRZEJ PECZALSKI ◽  
MICHAEL S. SHUR
Keyword(s):  
Temperature Dependence ◽  
Power Dissipation ◽  
Simple Structure ◽  
Power Performance ◽  
Performance Control ◽  
Temperature Modeling ◽  
Accurate Temperature ◽  
And Performance

Direct-Coupled FET Logic (DCFL) is an important logic family for LSI GaAs FET circuits because of its simple structure and good speed/power performance. Since it is especially sensitive to temperature shifts of performance, accurate temperature modeling is critical for design of DCFL circuits. Using a version of SPICE modified to include FET temperature dependence, the performance of DCFL is simulated over temperature and compared with measured results. In addition, an improved version of DCFL known as E-E Logic (Enhancement-Enhancement Logic) is modeled over temperature. The performance of E-E Logic is compared to DCFL with depletion-mode FET and saturated resistor loads over temperature. E-E Logic is found to offer improved yield, power dissipation and performance control compared to conventional DCFL.

Structure and performance control of high‐damping bio‐based thermoplastic polyurethane

2021 ◽  
pp. 52059
Author(s):  
Xi Hou ◽  
Liwen Sun ◽  
Wei Wei ◽  
Darlene K. Taylor ◽  
Shengpei Su ◽  
...  
Keyword(s):  
Thermoplastic Polyurethane ◽  
Performance Control ◽  
And Performance

Self-Calibration of Push-Pull Solenoid Actuators in Electrohydraulic Valves

2004 ◽  
Author(s):  
Qing Hui Yuan ◽  
Perry Y. Li
Keyword(s):  
Mechanical Property ◽  
Parameter Identification ◽  
Simulation Study ◽  
Electromagnetic Force ◽  
High Performance ◽  
Calibration Procedure ◽  
Performance Control ◽  
System Parameters ◽  
Self Calibration ◽  
Solenoid Actuator

System parameters for solenoid actuators are important for high performance control and for self-sensing. Due to the non-linearities in the solenoid actuators, parameter identification procedures that aim to obtain the electro-mechanical property can be complex and time consuming. In this paper, a self-calibration procedure for solenoid actuators in push-pull configurations is proposed. Utilizing the fact that the inductances of the solenoids share the same parameters as those for the electromagnetic force, the parameters for the electromagnetic force can be obtained from the easily obtainable electrical signals such as the voltage and current signals, and two inexpensive on-off sensors. The calibration procedure involves only actuating the solenoid actuator back and forth. Simulation study is presented to verify the method.

Inverse Wheel Dynamics

2006 ◽  
Author(s):  
V. V. Vantsevich
Keyword(s):  
Angular Velocity ◽  
Power Distribution ◽  
Vehicle Dynamics ◽  
Inverse Dynamics ◽  
Equation Of Motion ◽  
Torque Control ◽  
Vehicle Performance ◽  
Performance Control ◽  
Wheel Torque ◽  
And Performance

Wheel dynamics is a significant component of vehicle dynamics and performance analysis. This paper presents an innovative method of studying wheel dynamics and wheel performance control based on the inverse dynamics formulation of the problem. Such an approach opens up a new way to the optimization and control of both vehicle dynamics and vehicle performance by optimizing and controlling power distribution to the drive wheels. An equation of motion of a wheel is derived first from the wheel power balance equation that makes the equation more general. This equation of motion is considered the basis for studying both direct and inverse wheel dynamics. The development of a control strategy on the basis of the inverse wheel dynamics approach includes wheel torque control that provides a wheel with both the referred angular velocity and rolling radius and also with the required functionals of quality. An algorithm for controlling the angular velocity is presented as the first part in the implementation of the developed strategy of the inverse wheel dynamics/performance control.

Idiosyncratic cellulose acetate nanocomposite membranes: synthesis and performance control study for desalination

2019 ◽  
pp. 1-17
Author(s):  
Amina Afzal ◽  
Muhammad Shahid Rafique ◽  
Sadia Sagar Iqbal ◽  
Shariqa Hassan Butt ◽  
Umber Kalsoom ◽  
...  
Keyword(s):  
Cellulose Acetate ◽  
Nanocomposite Membranes ◽  
Performance Control ◽  
And Performance ◽  
Control Study

scholarly journals The volatilization behaviour of typical fluorine-containing slag in steelmaking

2020 ◽  
Vol 7 (8) ◽  
pp. 200704
Author(s):  
Zhongyu Zhao ◽  
Junxue Zhao ◽  
Zexin Tan ◽  
Boqiao Qu ◽  
Yaru Cui
Keyword(s):  
Continuous Casting ◽  
Eutectic Point ◽  
Slag System ◽  
Refining Slag ◽  
Performance Control ◽  
Second Stage ◽  
Mould Flux ◽  
And Performance ◽  
Continuous Casting Mould ◽  
Two Stages

It was taken as typical steelmaking fluorine-containing slag systems with the remelting electroslag, continuous casting mould flux and refining slag. The volatilization behaviour of each slag system was analysed by thermogravimetric (TG) and mass spectrometry (MS) detection. The results showed that the remelting electroslag volatilized significantly above 1300°C and the volatiles were mainly CaF 2 , MgF 2 with a small amount of SiF 4 and AlF 3 ; the continuous casting mould flux volatilization was divided into two stages, in the first stage (500°C∼800°C), CaF 2 and Na 2 O reacted to form NaF, and in the second stage (greater than 1200°C), the CaF 2 evaporation was highlighted; for CaF 2 -CaO-based refining slag, the volatilization was the most significant at the eutectic point 84% CaF 2 –16% CaO, and the volatility can be reduced by adding 5% SiO 2 . This research will be guiding significance for the composition and performance control of fluorine-containing slag and metallurgical environmental protection in the steelmaking process.

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