Modeling and Simulation of the Fluidic System in Liquid-Circular Angular Accelerometer Based on Mass-Spring-Damper System
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Angular accelerometer plays an important role in inertial measurement. In this paper, modeling and simulation of the fluidic system in liquid-circular angular accelerometer is presented. A new train of thought is offered that the fluidic system of angular accelerometer can be equivalent to a rigid system. Based on it, a mass-spring-damper (MSD) model in state space form is established considering the compressibility of the fluid mass in the circular tube. In order to test the proposed model and determine the parameters including the degree of freedom, the stiffness and the damping coefficient, the SimMechanics library of the MATLAB software is selected to simulate. The simulation results indicate that the MSD model shows a good agreement with the previous transient flow model which our group has proved to predict the real fluidic system.Keywords:
Fluidics
Piezoelectric accelerometer
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Accelerometers are some of the most familiar micro electronic mechanical system (MEMS) sensor. Accelerometers are used in many fields, such as vehicle braking, mobile phone, gauge check and so on. In this paper, we summarize how accelerometers sensors can be operated, and their working principle is presented, and then the fabrication process of the accelerometers sensors is presented. Then we conducted a preliminary test on the performance of the sensor and discuss the optimization scheme of manufacturing process.
Mobile phone
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Piezoelectric accelerometer
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There exist a discrepancy between the usage of the expensive standard accelerometer and the cheap and accessible consumer device accelerometer for the measurement of whole-body vibration (WBV). This study investigated the validity of accelerations (g-forces) obtained from a consumer device accelerometer by simultaneously using the consumer device accelerometer with a standard accelerometer during evaluation of WBV experienced by earthmoving equipment operators. The consumer device accelerometer is a software (WBV) compatible with iOS devices from operating system 5 and above (LIS331DLH, 3-axis, ±2 g acceleration range, MEMS type) while the standard accelerometer used during this study is a GCDC tri-axial accelerometer (GCDC X16-4 3-Axis, G-Force Data logger, ±18 g acceleration range, MEMS type). The two accelerometers were mounted following the basicentric axes of the seated operators and put on before earthmoving operation. Data from both the accelerometers were analysed using MATLAB. Results gotten from both accelerometers revealed extreme values of WBV. Some fell within the Health Guidance Caution Zone (HGCZ i.e. 0.47 m/s2 and 0.93 m/s2) while some were above 0.93 m/s2. There were however differences between values gotten from the two accelerometers indicating inaccuracy from the consumer device accelerometer. This research created ground for improvement of accelerometers available on mobile devices and perhaps waken the need for developing new and economic methods of WBV measurement and evaluation.
Data logger
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In this paper, we present a novel configuration of fixed distributed accelerometers combined with rotating accelerometers to infer the angular motion. Traditionally, fixed distributed accelerometers are configured to form a gyro-free inertial measurement unit (GF-IMU). The main advantage of using rotating accelerometer over fixed one is having direct measurements of the angular velocity. This configuration can be used to find a complete attitude solution. For static case, the heading angle is computed from angular velocity due to Earth rotation sensed by the rotating accelerometer while the tilt angles are found from the projected gravity sensed by an accelerometer triad.
Circular motion
Inertial reference unit
Units of measurement
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This paper presents the products of micro accelerometer from 1960′s to now. Three typical styles of micro accelerometer are analyzed. The advantages and disadvantages of each micro accelerometer are pointed out. Three dimensional accelerometer, the trend of micro accelerometer, is also introduced in this paper.
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The calculation amount of nine-accelerometer non-gyro micro inertial measurement unit(NGMIMU) is smallest in all designs,so it is the most appreciate to be applied in the real time system.This design needs some accelerometers to be fixed at the same point.But the accelerometers have the volume which can bring about the huge system error.In this paper,based on the NGMIMU algorithm and the accelerometer characteristic,a new applied algorithm is proposed.The algorithm divides the accelerometers into some groups to calculate on requiring the accelerometers to be fixed basing on some assumptions.So it can detect the error due to the volume of the accelerometer without any increase of the calculation amount.The experiment results also show that the measurement error is less that 8% using the proposed algorithm.
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A single-range accelerometer can not meet with the requirements of some special working environments,in which require testing the acceleration parameters ranged from several g to thousands of g.On the other hand,many measurement errors and inconvenience will be produced due to the spatial and mounting limitation from the usage of several accelerometers.To solve the above-mentioned problems,a multi-ranged micro accelerometer containing four accelerometer units(10g,100g,500g,and 10000g) was introduced in the present works.The structural design and static/dynamic simulation of the multi-ranged micro accelerometer were also elaborated,and the static and dynamic characteristics of the encapsulated multi-ranged micro accelerometer were calibrated.The calibration results showed that the multi-ranged micro accelerometer displayed good static and dynamic characteristics, and can be used for the measurement of the high-low range acceleration.
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An accelerometer placement scheme to determine the angular velocities and accelerations of a rigid body is presented. We show that the least number of uniaxial accelerometers required in a sensor array to uniquely determine the angular velocities in a moving frame is nine.
Angular acceleration
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Aim Explaining which information of acceleration are included in the output signal of an accelerometer. Methods Deducing analytic formula of its output signal according to the physical model of an accelerometer. Results and Conclusion There are four types of information as follows in the output signal of an accelerometer: the acceleration of the centre of mass of moving object; vibration accelerations caused by the position of the accelerometer fixed versus the centre of its mass; the response of on acceleration the structured part fixing the accelerometer and the response of the accelerometer on excitation.
SIGNAL (programming language)
Position (finance)
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