Aerospace Sensors.
Annotation
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York :
Momentum Press,
2012.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Series preface
- Preface
- Acknowledgments
- About the series editor
- About the editor
- 1. Introduction
- 1.1 General considerations
- 1.1.1 Types of aerospace vehicles and missions
- 1.1.2 The role of sensors and control systems in aerospace
- 1.1.3 Specific design criteria for aerospace vehicles and their sensors
- 1.1.4 Physical principles influencing primary aerospace sensor design
- 1.1.5 Reference frames accepted in aviation and astronautics
- 1.2 Characteristics and challenges of the atmospheric environment
- 1.2.1 Components of the earth's atmosphere
- 1.2.2 Stationary models of the atmosphere
- 1.2.3 Anisotropy and variability in the atmosphere
- 1.2.4 Electrical charges in the atmosphere
- 1.2.5 Electromagnetic wave propagation in the atmosphere
- 1.2.6 Geomagnetism
- 1.2.7 The planetary atmosphere
- 1.3 Characteristics and challenges of the space environment
- 1.3.1 General considerations
- 1.3.2 Near-earth space
- 1.3.3 Circumsolar (near-sun) space
- 1.3.4 Matter in space
- 1.3.5 Distances and time scales in deep space
- References
- 2. Air pressure-dependent sensors
- 2.1 Basic aircraft instrumentation
- 2.2 Fundamental physical properties of airflow
- 2.2.1 Fundamental airflow physical property definitions
- 2.2.1.1 Pressure
- 2.2.1.2 Air density
- 2.2.1.3 Temperature
- 2.2.1.4 Flow velocity
- 2.2.2 The equation of state for a perfect gas
- 2.2.3 Extension of definitions: total, dynamic, static, and stagnation
- 2.2.4 The speed of sound and mach number
- 2.2.4.1 The speed of sound
- 2.2.4.2 Mach number and compressibility
- 2.2.5 The source of aerodynamic forces
- 2.3 Altitude conventions
- 2.4 Barometric altimeters
- 2.4.1 Theoretical considerations
- 2.4.1.1 The troposphere
- 2.4.1.2 The stratosphere
- 2.4.2 Barometric altimeter principles and construction
- 2.4.3 Barometric altimeter errors
- 2.4.3.1 Methodical errors
- 2.4.3.2 Instrumental errors
- 2.5 Airspeed conventions
- 2.6 The manometric airspeed indicator
- 2.6.1 Manometric airspeed indicator principles and construction
- 2.6.2 Theoretical considerations
- 2.6.2.1 Subsonic incompressible operation
- 2.6.2.2 Subsonic compressible operation
- 2.6.2.3 Supersonic operation
- 2.6.3 Manometric airspeed indicator errors
- 2.6.3.1 Methodical errors
- 2.6.3.2 Instrumental errors
- 2.7 The vertical speed indicator (VSI)
- 2.7.1 VSI principles and construction
- 2.7.2 Theoretical considerations
- 2.7.2.1 Lag rate (time constant)
- 2.7.2.2 Sensitivity to mach number
- 2.7.2.3 Sensitivity to altitude
- 2.7.3 VSI errors
- 2.8 Angles of attack and slip
- 2.8.1 The pivoted vane
- 2.8.2 The differential pressure tube
- 2.8.3 The null-seeking pressure tube
- References
- Appendix
- 3. Radar altimeters
- 3.1 Introduction
- 3.1.1 Definitions
- 3.1.2 Altimetry methods
- 3.1.3 General principles of radar altimetry
- 3.1.4 Classification by different features
- 3.1.5 Application and performance characteristics
- 3.1.5.1 Aircraft applications
- 3.1.5.2 Spacecraft applications
- 3.1.5.3 Military applications
- 3.1.5.4 Remote sensing applications
- 3.1.6 Performance characteristics
- 3.2 Pulse radar altimeters
- 3.2.1 Principle of operation
- 3.2.2 Pulse duration
- 3.2.3 Tracking altimeters
- 3.2.4 Design principles
- 3.2.5 Features of altimeters with pulse compression
- 3.2.6 Pulse laser altimetry
- 3.2.7 Some examples
- 3.2.8 Validation
- 3.2.9 Future trends
- 3.3 Continuous wave radar altimeters
- 3.3.1 Principles of continuous wave radar
- 3.3.2 FMCW radar waveforms
- 3.3.3 Design principles and structural features
- 3.3.3.1 Local oscillator automatic tuning
- 3.3.3.2 Single-sideband receiver structure
- 3.3.4 The Doppler effect
- 3.3.5 Alternative measuring devices for FMCW altimeters
- 3.3.6 Accuracy and unambiguous altitude
- 3.3.7 Aviation applications
- 3.4 Phase precise radar altimeters
- 3.4.1 The phase method of range measurement
- 3.4.2 The two-frequency phase method
- 3.4.3 Ambiguity and accuracy in the two-frequency method
- 3.4.4 Phase ambiguity resolution
- 3.4.5 Waveforms
- 3.4.6 Measuring devices and signal processing
- 3.4.7 Remarks on the accuracy of CW and pulse radar altimeters
- 3.5 Radioactive altimeters for space application
- 3.5.1 Motivation and history
- 3.5.2 Physical bases
- 3.5.2.1 Features of radiation
- 3.5.2.2 Generators of photon emission
- 3.5.2.3 Receivers
- 3.5.2.4 Propagation features
- 3.5.3 Principles of operation
- 3.5.4 Radiation dosage
- 3.5.5 Examples of radioisotope altimeters
- References
- 4. Autonomous radio sensors for motion parameters
- 4.1 Introduction
- 4.2 Doppler sensors for ground speed and crab angle
- 4.2.1 Physical basis and functions
- 4.2.2 Principle of operation
- 4.2.3 Classification and features of sensors for ground speed and crab angle
- 4.2.4 Generalized structural diagram for the ground speed and crab angle meter
- 4.2.5 Design principles
- 4.2.6 Sources of Doppler radar errors
- 4.2.7 Examples
- 4.3 Airborne weather sensors
- 4.3.1 Weather radar as mandatory equipment of airliners and transport aircraft
- 4.3.2 Multifunctionality of airborne weather radar
- 4.3.3 Meteorological functions of AWR
- 4.3.4 Principles of DWP detection with AWR
- 4.3.4.1 Developing methods of DWP detection
- 4.3.4.2 Cumulonimbus clouds and heavy rain
- 4.3.4.3 Turbulence detection
- 4.3.4.4 Wind shear detection
- 4.3.4.5 Hail zone detection
- 4.3.4.6 Probable icing-in-flight zone detection
- 4.3.5 Surface mapping
- 4.3.5.1 Comparison of radar and visual orientation
- 4.3.5.2 The surface-mapping principle
- 4.3.5.3 Reflecting behavior of the earth's surface
- 4.3.5.4 The radar equation and signal correction
- 4.3.5.5 Automatic classification of navigational landmarks
- 4.3.6 AWR design principles
- 4.3.6.1 The operating principle and typical structure of AWR
- 4.3.6.2 AWR structures
- 4.3.6.3 Performance characteristics: basic requirements
- 4.3.7 AWR examples
- 4.3.8 Lightning sensor systems: stormscopes
- 4.3.9 Optical radar
- 4.3.9.1 Doppler lidar
- 4.3.9.2 Infrared locators and radiometers
- 4.3.10 The integrated localization of dangerous phenomena
- 4.4 Collision avoidance sensors
- 4.4.1 Traffic alert and collision avoidance systems (TCAS)
- 4.4.1.1 The purpose
- 4.4.1.2 A short history
- 4.4.1.3 TCAS levels of capability
- 4.4.1.4 TCAS concepts and principles of operation
- 4.4.1.5 Basic components
- 4.4.1.6 Operation
- 4.4.1.7 TCAS logistics
- 4.4.1.8 Cockpit presentation
- 4.4.1.9 Examples of system implementation
- 4.4.2 The ground proximity warning system (GPWS)
- 4.4.2.1 Purpose and necessity
- 4.4.2.2 GPWS history, principles, and evolution
- 4.4.2.3 GPWS modes
- 4.4.2.4 Shortcomings of classical GPWS
- 4.4.2.5 Enhanced GPWS
- 4.4.2.6 Look-ahead warnings
- 4.4.2.7 Implementation examples
- References
- 5. Devices and sensors for linear acceleration measurement
- 5.1 Introduction
- 5.2 Types of accelerometers
- 5.2.1 Linear and pendulous accelerometers
- 5.2.2 Direct conversion accelerometers and compensating accelerometers
- 5.2.2.1 Direct conversion accelerometers
- 5.2.2.2 Compensating accelerometers
- 5.3 Accelerometer parameters
- 5.3.1 Acceleration measurement range azmax
- 5.3.2 Resolution azmin
- 5.3.3 Zero signal (bias) a0
- 5.3.4 Scale factor Ka
- 5.3.5 Biasing error (misalignment)
- 5.3.6 Accelerometer frequency characteristics
- 5.3.7 Special accelerometer parameters
- 5.3.7.1 Magnetic leakage
- 5.3.7.2 Electromagnetic noise
- 5.3.7.3 Readiness time
- 5.3.7.4 Noise level in the accelerometer output
- 5.3.7.5 Sensitivity to external constant and variable magnetic fields
- 5.3.7.6 Sensitivity to changes in power supply voltage
- 5.3.7.7 Sensitivity to external pressure, humidity, and radiation
- 5.4 Float pendulous accelerometer (FPA)
- 5.4.1 Basic EMU design schemes
- 5.4.1.1 Advantages
- 5.4.1.2 Disadvantages
- 5.4.2 Hydrostatic accelerometer suspensions
- 5.4.3 FPA float balancing
- 5.4.4 Hydrodynamic forces and moments in the FPA
- 5.4.5 Movement of FPA float under vibration
- 5.5 Micromechanical accelerometers (MMAS)
- 5.5.1 The single-axis MMA
- 5.5.2 The three-axis MMA
- 5.5.3 The compensating type MMA
- 5.5.4 Solid-state MMA manufacturing techniques
- References
- 6. Gyroscopic devices and sensors
- 6.1 Introduction
- 6.1.1 Preliminary remarks
- 6.1.2 Classification of gyros
- 6.1.3 Gyroscopic instruments
- 6.1.4 Positional gyros
- 6.1.5 The vertical (or horizontal) gyro
- 6.1.6 Orbit gyro
- 6.1.7 Single degree of freedom (SDF) gyros
- 6.1.8 Gyro stabilizers
- 6.1.9 Gyroscopic instruments in aeronavigation
- 6.1.10 Inertial navigation systems (INS)
- 6.1.10.1 Types of INS
- 6.1.10.2 Strapdown INS
- 6.1.11 The scope of gyros and gyro instruments of various types
- 6.2 Single degree of freedom (SDF) gyros
- 6.2.1 The solid rotor SDF gyro
- 6.2.2 The integrating gyro
- 6.2.3 Rate of speed gauging
- 6.2.3.1 Feedback contours of the angular rate gauge
- 6.2.3.2 Design variants
- 6.3 The TDF gyro in gimbal mountings
- 6.3.1 Properties of a free gyro
- 6.3.2 Areas of application, design features, and error sources
- 6.3.3 Two-component angular speed measuring instruments
- 6.4 The gyroscopic integrator for linear acceleration (GILA)
- 6.4.1 Principles of GILA operation
- 6.4.2 Sources of GILA errors
- 6.5 Contactless suspension gyros
- 6.5.1 Introduction
- 6.5.2 The electrostatic gyroscope (ESG)
- 6.5.2.1 ESG accuracy
- 6.5.2.2 The ESG rotor
- 6.5.2.3 The rotor electrostatic suspension
- 6.5.2.4 Angular rotor position readout
- 6.5.3 Conclusion
- 6.6 The fiber optic gyro (FOG)
- 6.6.1 The interferometric fiber optic gyro (IFOG)
- 6.6.1.1 The basic IFOG scheme and the Sagnac effect
- 6.6.1.2 Open-loop operation
- 6.6.1.3 Closed-loop operation
- 6.6.1.4 Fundamental limitations
- 6.6.1.5 The multiple-axis IFOG
- 6.6.1.6 The depolarized IFOG
- 6.6.1.7 Applications of the IFOG
- 6.6.2 The resonator fiber optic gyro (RFOG)
- 6.7 The ring laser gyro (RLG)
- 6.7.1 Introduction
- 6.7.2 Principle of operation
- 6.7.3 Frequency characteristics and mode-locking counter-rotating waves
- 6.7.4 The elimination of mode-locking in counter-rotating waves
- 6.7.5 Errors
- 6.7.6 Performance and application
- 6.7.7 Conclusion
- 6.8 Dynamically tuned gyros (DTG)
- 6.8.1 Introduction
- 6.8.2 Key diagrams and dynamic tuning
- 6.8.3 Operating modes
- 6.8.4 Disturbance moments depending on external factors and instrumental errors
- 6.8.5 Magnetic, aerodynamic, and thermal disturbance moments
- 6.8.6 Design, application, technical characteristics
- 6.8.7 Conclusion
- 6.9 Solid vibrating gyros
- 6.9.1 Introduction
- 6.9.2 Dynamic behavior of the ideal solid vibrating gyro
- 6.9.3 Operating modes of the solid vibrating gyro
- 6.9.4 The nonideal solid vibrating gyro
- 6.9.5 Control of the solid vibrating gyro
- 6.9.6 Axisymmetric-shell gyros
- 6.9.7 The HRG, history and current status
- 6.9.8 HRG design characteristics
- 6.9.9 Additional HRG references
- 6.10 Micromechanical gyros
- 6.10.1 Introduction
- 6.10.2 Operating principles
- 6.10.2.1 Linear-linear (LL-type) gyros
- 6.10.2.2 Rotary-rotary (RR-type) gyro principles
- 6.10.2.3 Fork and rod gyro principles
- 6.10.2.4 Ring gyro principles
- 6.10.3 Adjustment of oscillation modes in gyros of the LL and RR types
- 6.10.4 Design, application, and performance
- 6.10.4.1 Gyros of the LL and RR-type
- 6.10.4.2 Fork and rod gyros
- 6.10.4.3 Ring gyros
- 6.10.5 Conclusion
- References
- 7. Compasses
- 7.1 Introduction
- 7.2 Magnetic compasses
- 7.2.1 Brief historical sketch
- 7.2.2 The earth's magnetic field
- 7.2.3 Magnetic compass design principles and errors
- 7.2.4 Examples of magnetic compasses structures
- 7.3 Fluxgate and gyro-magnetic compasses
- 7.3.1 Fluxgate and gyro-magnetic compasses design principles
- 7.3.2 Examples of fluxgate and gyro-magnetic structures
- 7.4 Electronic compasses
- References
- 8. Propulsion sensors
- 8.1 Introduction
- 8.2 Fuel quantity sensors
- 8.2.1 Mechanical and electromechanical methods of level sensing
- 8.2.1.1 Buoyancy or float methods
- 8.2.1.2 Level sensing using pressure transducers
- 8.2.2 Electronic methods of level sensing
- 8.2.2.1 Conductivity level sensing
- 8.2.2.2 Capacitive level sensing
- 8.2.2.3 Heat-transfer level sensing
- 8.2.2.4 Ultrasonic methods
- 8.3 Fuel consumption sensors
- 8.3.1 Introduction
- 8.3.2 Flow-obstruction methods
- 8.3.2.1 Practical considerations for obstruction meters
- 8.3.3 The turbine flow meter
- 8.3.4 The vane-type flow meter
- 8.4 Pressure sensors
- 8.4.1 Basic concepts
- 8.4.2 Basic sensing methods
- 8.4.2.1 The diaphragm
- 8.4.2.2 Capsules
- 8.4.2.3 The bourdon tube
- 8.4.3 Signal acquisition
- 8.4.3.1 Capacitive deflection transducers
- 8.4.3.2 Inductive deflection transducers
- 8.4.3.3 Potentiometric deflection transducers
- 8.4.3.4 Null-balance servo pressure transducers
- 8.4.4 Operational requirements
- 8.5 Engine temperatures
- 8.5.1 Intermediate turbine temperature (ITT)
- 8.5.2 Oil temperature/fuel temperature
- 8.5.3 Fire sensors
- 8.5.4 Exhaust gas temperature (EGT)
- 8.5.5 Nacelle temperature
- 8.6 Tachometry
- 8.6.1 The eddy current tachometer
- 8.6.2 The AC generator tachometer
- 8.6.3 The variable reluctance tachometer
- 8.6.4 The Hall effect tachometer
- 8.7 Vibration sensors, engine and nacelle
- 8.8 Regulatory issues
- References
- Bibliography
- 9. Principles and examples of sensor integration
- 9.1 Sensor systems
- 9.1.1 The sensor system concept
- 9.1.2 Joint processing of readings from identical sensors
- 9.1.3 Joint processing of readings from cognate sensors with different measurement ranges
- 9.1.4 Joint processing of diverse sensors readings
- 9.1.5 Linear and nonlinear sensor integration algorithms
- 9.2 Fundamentals of integrated measuring system synthesis
- 9.2.1 Synthesis problem statement
- 9.2.2 Classes of dynamic system realization
- 9.2.3 Measurement accuracy indices
- 9.2.4 Excitation properties
- 9.2.5 Objective functions for robust system optimisation
- 9.2.6 Methods of dynamic system accuracy index analysis under excitation with given numerical characteristics of derivatives
- 9.2.6.1 Estimation of error variance
- 9.2.6.2 Example of error variance analysis
- 9.2.6.3 Use of equivalent harmonic excitation
- 9.2.6.4 Estimation of error maximal value
- 9.2.7 System optimization under maximum accuracy criteria
- 9.2.8 Procedures for the dimensional reduction of a measuring system
- 9.2.8.1 Determination of an optimal set of sensors
- 9.2.8.2 Analysis of the advantages of invariant system construction
- 9.2.8.3 Advantages of the zeroing of several system parameters
- 9.2.9 Realization and simulation of integration algorithms
- 9.3 Examples of two-component integrated navigation systems
- 9.3.1 Noninvariant robust integrated speed meter
- 9.3.2 Integrated radio-inertial measurement
- 9.3.3 Airborne gravimeter integration
- 9.3.4 The orbital verticant
- References