A Dedicated Earth-Orbiting Spacecraft for Investigating Gravitational Physics and the Space Environment
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Wireless Accelerometer - G-Force Max & Avg
The Leader in Low-Cost, Remote Monitoring Solutions Wireless Accelerometer - G-Force Max & Avg General Description Monnit Sensor Core Specifications The RF Wireless Accelerometer is a digital, low power, • Wireless Range: 250 - 300 ft. (non line-of-sight / low profile, capacitive sensor that is able to measure indoors through walls, ceilings & floors) * acceleration on three axes. Four different • Communication: RF 900, 920, 868 and 433 MHz accelerometer types are available from Monnit. • Power: Replaceable batteries (optimized for long battery life - Line-power (AA version) and solar Free iMonnit basic online wireless (Industrial version) options available sensor monitoring and notification • Battery Life (at 1 hour heartbeat setting): ** system to configure sensors, view data AA battery > 4-8 years and set alerts via SMS text and email. Coin Cell > 2-3 years. Industrial > 4-8 years Principle of Operation * Actual range may vary depending on environment. ** Battery life is determined by sensor reporting Accelerometer samples at 800 Hz over a 10 second frequency and other variables. period, and reports the measured MAXIMUM value for each axis in g-force and the AVERAGE measured g-force on each axis over the same period, for all three axes. (Only available in the AA version.) This sensor reports in every 10 seconds with this data. Other sampling periods can be configured, down to one second and up to 10 minutes*. The data reported is useful for tracking periodic motion. Sensor data is displayed as max and average. Example: • Max X: 0.125 Max Y: 1.012 Max Z: 0.015 • Avg X: 0.110 Avg Y: 1.005 Avg Z: 0.007 * Customer cannot configure sampling period on their own. -
Measurement of the Earth Tides with a MEMS Gravimeter
1 Measurement of the Earth tides with a MEMS gravimeter ∗ y ∗ y ∗ ∗ ∗ 2 R. P. Middlemiss, A. Samarelli, D. J. Paul, J. Hough, S. Rowan and G. D. Hammond 3 The ability to measure tiny variations in the local gravitational acceleration allows { amongst 4 other applications { the detection of hidden hydrocarbon reserves, magma build-up before volcanic 5 eruptions, and subterranean tunnels. Several technologies are available that achieve the sensi- p 1 6 tivities required for such applications (tens of µGal= Hz): free-fall gravimeters , spring-based 2; 3 4 5 7 gravimeters , superconducting gravimeters , and atom interferometers . All of these devices can 6 8 observe the Earth Tides ; the elastic deformation of the Earth's crust as a result of tidal forces. 9 This is a universally predictable gravitational signal that requires both high sensitivity and high 10 stability over timescales of several days to measure. All present gravimeters, however, have limita- 11 tions of excessive cost (> $100 k) and high mass (>8 kg). We have built a microelectromechanical p 12 system (MEMS) gravimeter with a sensitivity of 40 µGal= Hz in a package size of only a few 13 cubic centimetres. We demonstrate the remarkable stability and sensitivity of our device with a 14 measurement of the Earth tides. Such a measurement has never been undertaken with a MEMS 15 device, and proves the long term stability of our instrument compared to any other MEMS device, 16 making it the first MEMS accelerometer to transition from seismometer to gravimeter. This heralds 17 a transformative step in MEMS accelerometer technology. -
A GUIDE to USING FETS for SENSOR APPLICATIONS by Ron Quan
Three Decades of Quality Through Innovation A GUIDE TO USING FETS FOR SENSOR APPLICATIONS By Ron Quan Linear Integrated Systems • 4042 Clipper Court • Fremont, CA 94538 • Tel: 510 490-9160 • Fax: 510 353-0261 • Email: [email protected] A GUIDE TO USING FETS FOR SENSOR APPLICATIONS many discrete FETs have input capacitances of less than 5 pF. Also, there are few low noise FET input op amps Linear Systems that have equivalent input noise voltages density of less provides a variety of FETs (Field Effect Transistors) than 4 nV/ 퐻푧. However, there are a number of suitable for use in low noise amplifier applications for discrete FETs rated at ≤ 2 nV/ 퐻푧 in terms of equivalent photo diodes, accelerometers, transducers, and other Input noise voltage density. types of sensors. For those op amps that are rated as low noise, normally In particular, low noise JFETs exhibit low input gate the input stages use bipolar transistors that generate currents that are desirable when working with high much greater noise currents at the input terminals than impedance devices at the input or with high value FETs. These noise currents flowing into high impedances feedback resistors (e.g., ≥1MΩ). Operational amplifiers form added (random) noise voltages that are often (op amps) with bipolar transistor input stages have much greater than the equivalent input noise. much higher input noise currents than FETs. One advantage of using discrete FETs is that an op amp In general, many op amps have a combination of higher that is not rated as low noise in terms of input current noise and input capacitance when compared to some can be converted into an amplifier with low input discrete FETs. -
Utilising Accelerometer and Gyroscope in Smartphone to Detect Incidents on a Test Track for Cars
Utilising accelerometer and gyroscope in smartphone to detect incidents on a test track for cars Carl-Johan Holst Data- och systemvetenskap, kandidat 2017 Luleå tekniska universitet Institutionen för system- och rymdteknik LULEÅ UNIVERSITY OF TECHNOLOGY BACHELOR THESIS Utilising accelerometer and gyroscope in smartphone to detect incidents on a test track for cars Author: Examiner: Carl-Johan HOLST Patrik HOLMLUND [email protected] [email protected] Supervisor: Jörgen STENBERG-ÖFJÄLL [email protected] Computer and space technology Campus Skellefteå June 4, 2017 ii Abstract Utilising accelerometer and gyroscope in smartphone to detect incidents on a test track for cars Every smartphone today includes an accelerometer. An accelerometer works by de- tecting acceleration affecting the device, meaning it can be used to identify incidents such as collisions at a relatively high speed where large spikes of acceleration often occur. A gyroscope on the other hand is not as common as the accelerometer but it does exists in most newer phones. Gyroscopes can detect rotations around an arbitrary axis and as such can be used to detect critical rotations. This thesis work will present an algorithm for utilising the accelerometer and gy- roscope in a smartphone to detect incidents occurring on a test track for cars. Sammanfattning Utilising accelerometer and gyroscope in smartphone to detect incidents on a test track for cars Alla smarta telefoner innehåller idag en accelerometer. En accelerometer analyserar acceleration som påverkar enheten, vilket innebär att den kan användas för att de- tektera incidenter så som kollisioner vid relativt höga hastigheter där stora spikar av acceleration vanligtvis påträffas. -
Basic Principles of Inertial Navigation
Basic Principles of Inertial Navigation Seminar on inertial navigation systems Tampere University of Technology 1 The five basic forms of navigation • Pilotage, which essentially relies on recognizing landmarks to know where you are. It is older than human kind. • Dead reckoning, which relies on knowing where you started from plus some form of heading information and some estimate of speed. • Celestial navigation, using time and the angles between local vertical and known celestial objects (e.g., sun, moon, or stars). • Radio navigation, which relies on radio‐frequency sources with known locations (including GNSS satellites, LORAN‐C, Omega, Tacan, US Army Position Location and Reporting System…) • Inertial navigation, which relies on knowing your initial position, velocity, and attitude and thereafter measuring your attitude rates and accelerations. The operation of inertial navigation systems (INS) depends upon Newton’s laws of classical mechanics. It is the only form of navigation that does not rely on external references. • These forms of navigation can be used in combination as well. The subject of our seminar is the fifth form of navigation – inertial navigation. 2 A few definitions • Inertia is the property of bodies to maintain constant translational and rotational velocity, unless disturbed by forces or torques, respectively (Newton’s first law of motion). • An inertial reference frame is a coordinate frame in which Newton’s laws of motion are valid. Inertial reference frames are neither rotating nor accelerating. • Inertial sensors measure rotation rate and acceleration, both of which are vector‐ valued variables. • Gyroscopes are sensors for measuring rotation: rate gyroscopes measure rotation rate, and integrating gyroscopes (also called whole‐angle gyroscopes) measure rotation angle. -
Full Auto-Calibration of a Smartphone on Board a Vehicle Using IMU and GPS Embedded Sensors
Full auto-calibration of a smartphone on board a vehicle using IMU and GPS embedded sensors Javier Almaz´an, Luis M. Bergasa, J. Javier Yebes, Rafael Barea and Roberto Arroyo Abstract| Nowadays, smartphones are widely used Smartphones provide two kinds of measurements. The in the world, and generally, they are equipped with first ones are relative to the world, such as GPS and many sensors. In this paper we study how powerful magnetometers. The second ones are relative to the the low-cost embedded IMU and GPS could become for Intelligent Vehicles. The information given by device, such as accelerometers and gyroscopes. Knowing accelerometer and gyroscope is useful if the relations the relation between the smartphone reference system between the smartphone reference system, the vehicle and the world reference system is very important in order reference system and the world reference system are to reference the second kind of measurements globally [3]. known. Commonly, the magnetometer sensor is used In other words, working with this kind of measurements to determine the orientation of the smartphone, but its main drawback is the high influence of electro- involves knowing the pose of the smartphone in the magnetic interference. In view of this, we propose a world. novel automatic method to calibrate a smartphone Intelligent Vehicles can be helped by using in-vehicle on board a vehicle using its embedded IMU and smartphones to measure some driving indicators. On the GPS, based on longitudinal vehicle acceleration. To one hand, using smartphones requires no extra hardware the best of our knowledge, this is the first attempt to estimate the yaw angle of a smartphone relative to a mounted in the vehicle, offering cheap and standard vehicle in every case, even on non-zero slope roads. -
Accelerometers
JOHNS HOPKINS UNIVERSITY,PHYSICSAND ASTRONOMY AS.173.111 – GENERAL PHYSICS LABORATORY I Accelerometers 1L EARNING OBJECTIVES At the conclusion of this activity you should be able to: • Use your smartphone to collect acceleration data. • Use measured acceleration to estimate the distance of a free fall • Use measured acceleration to estimate kinematic quantities that describe an elevator ride. 2B ACKGROUND 2.1A CCELERATION,VELOCITY, AND POSITION We know from Classical Mechanics that we can move between position, velocity, and acceleration by repeatedly taking time derivatives of the position of an object. Similarly, starting from acceleration, we can take subsequent integrals with respect to time to obtain velocity and position respectively. Description Differential Form Integral Form Z Position ~x ~x ~vdt Æ d~x Z Velocity ~v ~v ~adt Æ dt Æ d 2~x d~v Acceleration ~a ~a Æ dt 2 Æ dt 2.2C OLLECTING DATA WITH A SMARTPHONE Most modern smart phones come packed with sensors that make them ideal to use as physics instru- ments. Many cell phones come packaged with an air pressure sensor, light meter, 3-axis accelerometers, 3-axis magnetometer, gyroscope, and of course a microphone. Many great physics measurements can be made using your smart phone. Several apps exist for collecting data from these packaged sensors. For this lab activity, we will use the PhyPhox app. You may download the app to your phone here: https://phyphox.org/ Revised: Wednesday 10th March, 2021 16:32 ©2014 J. Reid Mumford PhyPhox is also available in both the Google Play and Apple app stores. 2.3A CCELEROMETERS Your smartphone is packaged with a small integrated circuit package called a Microelectromechanical Systems (MEMS). -
Development of MEMS Capacitive Sensor Using a MOSFET Structure
Extended Summary 本文は pp.102-107 Development of MEMS Capacitive Sensor Using a MOSFET Structure Hayato Izumi Non-member (Kansai University, [email protected]) Yohei Matsumoto Non-member (Kansai University, [email protected] u.ac.jp) Seiji Aoyagi Member (Kansai University, [email protected] u.ac.jp) Yusaku Harada Non-member (Kansai University, [email protected] u.ac.jp) Shoso Shingubara Non-member (Kansai University, [email protected]) Minoru Sasaki Member (Toyota Technological Institute, [email protected]) Kazuhiro Hane Member (Tohoku University, [email protected]) Hiroshi Tokunaga Non-member (M. T. C. Corp., [email protected]) Keywords : MOSFET, capacitive sensor, accelerometer, circuit for temperature compensation The concept of a capacitive MOSFET sensor for detecting voltage change, is proposed (Fig. 4). This circuitry is effective for vertical force applied to its floating gate was already reported by compensating ambient temperature, since two MOSFETs are the authors (Fig. 1). This sensor detects the displacement of the simultaneously suffer almost the same temperature change. The movable gate electrode from changes in drain current, and this performance of this circuitry is confirmed by SPICE simulation. current can be amplified electrically by adding voltage to the gate, The operating point, i.e., the output voltage, is stable irrespective i.e., the MOSFET itself serves as a mechanical sensor structure. of the ambient temperature change (Fig. 5(a)). The output voltage Following this, in the present paper, a practical test device is has comparatively good linearity to the gap length, which would fabricated. -
Satellite Splat II: an Inelastic Collision with a Surface-Launched Projectile and the Maximum Orbital Radius for Planetary Impact
European Journal of Physics Eur. J. Phys. 37 (2016) 045004 (10pp) doi:10.1088/0143-0807/37/4/045004 Satellite splat II: an inelastic collision with a surface-launched projectile and the maximum orbital radius for planetary impact Philip R Blanco1,2,4 and Carl E Mungan3 1 Department of Physics and Astronomy, Grossmont College, El Cajon, CA 92020- 1765, USA 2 Department of Astronomy, San Diego State University, San Diego, CA 92182- 1221, USA 3 Physics Department, US Naval Academy, Annapolis, MD 21402-1363, USA E-mail: [email protected] Received 26 January 2016, revised 3 April 2016 Accepted for publication 14 April 2016 Published 16 May 2016 Abstract Starting with conservation of energy and angular momentum, we derive a convenient method for determining the periapsis distance of an orbiting object, by expressing its velocity components in terms of the local circular speed. This relation is used to extend the results of our previous paper, examining the effects of an adhesive inelastic collision between a projectile launched from the surface of a planet (of radius R) and an equal-mass satellite in a circular orbit of radius rs. We show that there is a maximum orbital radius rs ≈ 18.9R beyond which such a collision cannot cause the satellite to impact the planet. The difficulty of bringing down a satellite in a high orbit with a surface- launched projectile provides a useful topic for a discussion of orbital angular momentum and energy. The material is suitable for an undergraduate inter- mediate mechanics course. Keywords: orbital motion, momentum conservation, energy conservation, angular momentum, ballistics (Some figures may appear in colour only in the online journal) 4 Author to whom any correspondence should be addressed. -
Gravitation and Geodesy with Inertial Sensors, from Ground to Space
Testing in Aerospace Research P. Touboul (ONERA) Gravitation and Geodesy G. Métris (Geoazur – CNRS/UMR) with Inertial Sensors, H. Sélig from Ground to Space (ZARM Space Science Department University of Bremen) ince the years 2000, three space missions, CHAMP, GRACE, and GOCE, have led S us to consider the Earth's gravitational field and its measurement in a new light, O. Le Traon, A. Bresson, using dedicated sensors and adequate data processing, revealing the changes in the N. Zahzam, B. Christophe, M. Rodrigues Earth's field as the true signal rather than the disturbing terms in addition to the geo- (ONERA) static reference field. Besides the possibilities offered by new technologies for the development of inertial sensors, a space environment of course involves special con- E-mail: [email protected] straints, but also allows the possibility of a specific optimization of the concepts and techniques well suited for microgravity conditions. We will analyze and compare with DOI: 10.12762/2016.AL12-11 others the interest in the electrostatic configuration of the instruments used in the main payload of these missions, and we will consider the recent MICROSCOPE mission, which takes advantage of the same mission configuration as a gradiometry mission to test the universality of free fall whatever the mass composition. A few days after launching the satellite in April 2016, we will show how we intend to validate the future result, the existence or not of a violation signal of the equivalence principle, taking into account the laboratory tests, where available, and the in-flight demonstrated perfor- mance during the calibration phases and the scientific measurements. -
Orbital Mechanics Course Notes
Orbital Mechanics Course Notes David J. Westpfahl Professor of Astrophysics, New Mexico Institute of Mining and Technology March 31, 2011 2 These are notes for a course in orbital mechanics catalogued as Aerospace Engineering 313 at New Mexico Tech and Aerospace Engineering 362 at New Mexico State University. This course uses the text “Fundamentals of Astrodynamics” by R.R. Bate, D. D. Muller, and J. E. White, published by Dover Publications, New York, copyright 1971. The notes do not follow the book exclusively. Additional material is included when I believe that it is needed for clarity, understanding, historical perspective, or personal whim. We will cover the material recommended by the authors for a one-semester course: all of Chapter 1, sections 2.1 to 2.7 and 2.13 to 2.15 of Chapter 2, all of Chapter 3, sections 4.1 to 4.5 of Chapter 4, and as much of Chapters 6, 7, and 8 as time allows. Purpose The purpose of this course is to provide an introduction to orbital me- chanics. Students who complete the course successfully will be prepared to participate in basic space mission planning. By basic mission planning I mean the planning done with closed-form calculations and a calculator. Stu- dents will have to master additional material on numerical orbit calculation before they will be able to participate in detailed mission planning. There is a lot of unfamiliar material to be mastered in this course. This is one field of human endeavor where engineering meets astronomy and ce- lestial mechanics, two fields not usually included in an engineering curricu- lum. -
Control of Long-Term Low-Thrust Small Satellites Orbiting Mars
SSC18-PII-26 Control of Long-Term Low-Thrust Small Satellites Orbiting Mars Christopher Swanson University of Florida 3131 NW 58th Blvd. Gainesville FL [email protected] Faculty Advisor: Riccardo Bevilacqua Graduate Advisor: Patrick Kelly University of Florida ABSTRACT As expansion of deep space missions continue, Mars is quickly becoming the planet of primary focus for science and exploratory satellite systems. Due to the cost of sending large satellites equipped with enough fuel to last the entire lifespan of a mission, inexpensive small satellites equipped with low thrust propulsion are of continuing interest. In this paper, a model is constructed for use in simulating the control of a small satellite system, equipped with low- thrust propulsion in orbit around Mars. The model takes into consideration the fuel consumption and can be used to predict the lifespan of the satellite based on fuel usage due to the natural perturbation of the orbit. This model of the natural perturbations around Mars implements a Lyapunov Based control law using a set of gains for the orbital elements calculated by obtaining the ratio of the instantaneous rate of change of the element over the maximum rate of change over the current orbit. The thrust model simulates the control of the semi-major axis, eccentricity, and inclination based upon a thrust vector fixed to a local vertical local horizontal reference frame of the satellite. This allows for a more efficient fuel usage over the long continuous thrust burns by prioritizing orbital elements in the control when they have a higher relative rate of change rather than the Lyapunov control prioritizing the element with the greatest magnitude rate of change.