Investigation of MEMS inertial sensors and aircraft dynamic models in global positioning system integrity monitoring for approaches with vertical guidance

An Approach with Vertical Guidance (APV) is an instrument approach procedure which provides horizontal and vertical guidance to a pilot on approach to landing in reduced visibility conditions. APV approaches can greatly reduce the safety risk to general aviation by improving the pilot’s situational awareness. In particular the incidence of Controlled Flight Into Terrain (CFIT) which has occurred in a number of fatal air crashes in general aviation over the past decade in Australia, can be reduced. APV approaches can also improve general aviation operations. If implemented at Australian airports, APV approach procedures are expected to bring a cost saving of millions of dollars to the economy due to fewer missed approaches, diversions and an increased safety benefit. The provision of accurate horizontal and vertical guidance is achievable using the Global Positioning System (GPS). Because aviation is a safety of life application, an aviation-certified GPS receiver must have integrity monitoring or augmentation to ensure that its navigation solution can be trusted. However, the difficulty with the current GPS satellite constellation alone meeting APV integrity requirements, the susceptibility of GPS to jamming or interference and the potential shortcomings of proposed augmentation solutions for Australia such as the Ground-based Regional Augmentation System (GRAS) justifies the investigation of Aircraft Based Augmentation Systems (ABAS) as an alternative integrity solution for general aviation. ABAS augments GPS with other sensors at the aircraft to help it meet the integrity requirements. Typical ABAS designs assume high quality inertial sensors to provide an accurate reference trajectory for Kalman filters. Unfortunately high-quality inertial sensors are too expensive for general aviation. In contrast to these approaches the purpose of this research is to investigate fusing GPS with lower-cost Micro-Electro-Mechanical System (MEMS) Inertial Measurement Units (IMU) and a mathematical model of aircraft dynamics, referred to as an Aircraft Dynamic Model (ADM) in this thesis. Using a model of aircraft dynamics in navigation systems has been studied before in the available literature and shown to be useful particularly for aiding inertial coasting or attitude determination. In contrast to these applications, this thesis investigates its use in ABAS. This thesis presents an ABAS architecture concept which makes use of a MEMS IMU and ADM, named the General Aviation GPS Integrity System (GAGIS) for convenience. GAGIS includes a GPS, MEMS IMU, ADM, a bank of Extended Kalman Filters (EKF) and uses the Normalized Solution Separation (NSS) method for fault detection. The GPS, IMU and ADM information is fused together in a tightly-coupled configuration, with frequent GPS updates applied to correct the IMU and ADM. The use of both IMU and ADM allows for a number of different possible configurations. Three are investigated in this thesis; a GPS-IMU EKF, a GPS-ADM EKF and a GPS-IMU-ADM EKF. The integrity monitoring performance of the GPS-IMU EKF, GPS-ADM EKF and GPS-IMU-ADM EKF architectures are compared against each other and against a stand-alone GPS architecture in a series of computer simulation tests of an APV approach. Typical GPS, IMU, ADM and environmental errors are simulated. The simulation results show the GPS integrity monitoring performance achievable by augmenting GPS with an ADM and low-cost IMU for a general aviation aircraft on an APV approach. A contribution to research is made in determining whether a low-cost IMU or ADM can provide improved integrity monitoring performance over stand-alone GPS. It is found that a reduction of approximately 50% in protection levels is possible using the GPS-IMU EKF or GPS-ADM EKF as well as faster detection of a slowly growing ramp fault on a GPS pseudorange measurement. A second contribution is made in determining how augmenting GPS with an ADM compares to using a low-cost IMU. By comparing the results for the GPS-ADM EKF against the GPS-IMU EKF it is found that protection levels for the GPS-ADM EKF were only approximately 2% higher. This indicates that the GPS-ADM EKF may potentially replace the GPS-IMU EKF for integrity monitoring should the IMU ever fail. In this way the ADM may contribute to the navigation system robustness and redundancy. To investigate this further, a third contribution is made in determining whether or not the ADM can function as an IMU replacement to improve navigation system redundancy by investigating the case of three IMU accelerometers failing. It is found that the failed IMU measurements may be supplemented by the ADM and adequate integrity monitoring performance achieved. Besides treating the IMU and ADM separately as in the GPS-IMU EKF and GPS-ADM EKF, a fourth contribution is made in investigating the possibility of fusing the IMU and ADM information together to achieve greater performance than either alone. This is investigated using the GPS-IMU-ADM EKF. It is found that the GPS-IMU-ADM EKF can achieve protection levels approximately 3% lower in the horizontal and 6% lower in the vertical than a GPS-IMU EKF. However this small improvement may not justify the complexity of fusing the IMU with an ADM in practical systems. Affordable ABAS in general aviation may enhance existing GPS-only fault detection solutions or help overcome any outages in augmentation systems such as the Ground-based Regional Augmentation System (GRAS). Countries such as Australia which currently do not have an augmentation solution for general aviation could especially benefit from the economic savings and safety benefits of satellite navigation-based APV approaches.

[1]  Fan-Ren Chang,et al.  Using multi-frequency for GPS positioning and receiver autonomous integrity monitoring , 2004, Proceedings of the 2004 IEEE International Conference on Control Applications, 2004..

[2]  Mark A. Sturza,et al.  Navigation System Integrity Monitoring Using Redundant Measurements , 1988 .

[3]  Ronald Braff,et al.  GPS and Galileo with RAIM or WAAS for Vertically Guided Approaches , 2005 .

[4]  Y.C. Lee,et al.  Receiver autonomous integrity monitoring (RAIM) capability for sole-means GPS navigation in the oceanic phase of flight , 1992, IEEE Aerospace and Electronic Systems Magazine.

[5]  James L. Farrell,et al.  IMU COAST: NOT a SILVER BULLET , 2010 .

[6]  Hugh F. Durrant-Whyte,et al.  Horizontal model fusion paradigm , 1996, Defense, Security, and Sensing.

[7]  Aboelmagd Noureldin,et al.  Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications , 2009, IEEE Transactions on Vehicular Technology.

[8]  R. Grover Brown,et al.  A Baseline GPS RAIM Scheme and a Note on the Equivalence of Three RAIM Methods , 1992 .

[9]  Christoph Eck,et al.  Error dynamics of model based INS/GPS navigation for an autonomously flying helicopter , 2000 .

[10]  M. Pratt,et al.  GPS performance in navigation , 1999, Proc. IEEE.

[11]  Per K. Enge,et al.  Global positioning system: signals, measurements, and performance [Book Review] , 2002, IEEE Aerospace and Electronic Systems Magazine.

[12]  John Weston,et al.  Strapdown Inertial Navigation Technology, Second Edition , 2005 .

[13]  Mark Koifman,et al.  Inertial navigation system aided by aircraft dynamics , 1999, IEEE Trans. Control. Syst. Technol..

[14]  Rudolph van der Merwe,et al.  Sigma-Point Kalman Filters for Integrated Navigation , 2004 .

[15]  Eugene A. Morelli,et al.  Aircraft system identification : theory and practice , 2006 .

[16]  Bradford W. Parkinson,et al.  Global positioning system : theory and applications , 1996 .

[17]  Bradford W. Parkinson,et al.  Autonomous GPS Integrity Monitoring Using the Pseudorange Residual , 1988 .

[18]  Presente,et al.  A Ground-based Regional Augmentation System (GRAS) , 2001 .

[19]  Richard A. Brown,et al.  Introduction to random signals and applied kalman filtering (3rd ed , 2012 .

[20]  R. DiEsposti,et al.  WAAS Geostationary Communication Segment (GCS) requirements analysis , 2002, 2002 IEEE Position Location and Navigation Symposium (IEEE Cat. No.02CH37284).

[21]  Umar Iqbal Bhatti,et al.  Improved integrity algorithms for the integrated GPS/INS systems in the presence of slowly growing errors , 2007 .

[22]  J. S. Leung,et al.  GPS standard positioning service (SPS) aircraft en route RAIM availability for continental United States , 1995, Proceedings of 14th Digital Avionics Systems Conference.

[23]  Young C. Lee,et al.  A Further Analysis of Integrity Methods for Tightly Coupled GPS/IRS Systems , 2000 .

[24]  Jan Wendel,et al.  A Performance Comparison of Tightly Coupled GPS/INS Navigation Systems based on Extended and Sigma Point Kalman Filters , 2005 .

[25]  Robert C. Nelson,et al.  Flight Stability and Automatic Control , 1989 .

[26]  Kenneth R Britting,et al.  Inertial navigation systems analysis , 1971 .

[27]  Igor Nikiforov Integrity monitoring for multi-sensor integrated navigation systems , 2002 .

[28]  Aron Pinker,et al.  Vulnerability of the GPS Signal to Jamming , 1999, GPS Solutions.

[29]  Gary A. McGraw,et al.  Fault Detection and Exclusion Using Normalized Solution Separation and Residual Monitoring Methods , 2003 .

[30]  Mark L. Psiaki,et al.  The accuracy of the GPS-derived acceleration vector, a novel attitude reference , 1999 .

[31]  R. Walker,et al.  Sensor Fault Detection for UAVs using a Nonlinear Dynamic Model and the IMM-UKF Algorithm , 2007, 2007 Information, Decision and Control.

[32]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[33]  John W. Diesel,et al.  GPS/IRS AIME: Certification for Sole Means and Solution to RF Interference , 1996 .

[34]  Anthony J. Mannucci,et al.  The ionospheric impact of the October 2003 storm event on Wide Area Augmentation System , 2005 .

[35]  Young C. Lee,et al.  Analysis of Coast Times upon Loss of GPS Signals for Integrated GPS/Inertial Systems , 2003 .

[36]  Shaojun Feng,et al.  Integrity of an integrated GPS/INS system in the presence of slowly growing errors. Part II: analysis , 2007 .

[37]  Frank L. Lewis,et al.  Aircraft Control and Simulation , 1992 .

[38]  Babak Azimi-Sadjadi,et al.  Approximate Nonlinear Filtering with Applications to Navigation , 2001 .

[39]  K. Van Dyke The world after SA: benefits to GPS integrity , 2000 .

[40]  Shaojun Feng,et al.  Integrity of an integrated GPS/INS system in the presence of slowly growing errors. Part I: A critical review , 2007 .

[41]  Bryant D. Elrod,et al.  A Ground-based Regional Augmentation System (GRAS) - The Australian Proposal , 2000 .

[42]  Phil Dixon,et al.  Mastering GPS Flying , 2004 .

[43]  Young C. Lee,et al.  A Performance Analysis of a Tightly Coupled GPS/Inertial System for Two Integrity Monitoring Methods , 1999 .

[44]  A. Charnes,et al.  Part II — Analysis , 1957 .

[45]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[46]  K.W. McPherson,et al.  Results in support of the ICAO GRAS validation test , 2005, IEEE Aerospace and Electronic Systems Magazine.

[47]  T. Murphy,et al.  The use of GBAS ground facilities in a regional network , 2000, IEEE 2000. Position Location and Navigation Symposium (Cat. No.00CH37062).

[48]  Walid Abdel-Hamid,et al.  Accuracy enhancement of integrated MEMS-IMU/GPS systems for land vehicular navigation applications , 2005 .

[49]  Bernard Etkin,et al.  Dynamics of Atmospheric Flight , 1972 .

[50]  J. L. Roux An Introduction to the Kalman Filter , 2003 .

[51]  G. Frisk A ground based augmentation service for gate-to-gate operations , 2000, IEEE 2000. Position Location and Navigation Symposium (Cat. No.00CH37062).

[52]  William H. Beyer,et al.  Handbook of Tables for Probability and Statistics , 1967 .

[53]  John Diesel A New Approach to GPS Integrity/Availability: Immediate Global Sole Means Without WAAS , 1994 .

[54]  Rodney A. Walker,et al.  Sigma Point Kalman Filters for GPS Navigation with Integrity in Aviation , 2007 .

[55]  Mats A. Brenner,et al.  lntegrated GPS/lnertial Fault Detection Availability , 1995 .

[56]  Greg Welch,et al.  An Introduction to Kalman Filter , 1995, SIGGRAPH 2001.

[57]  Richard Thompson,et al.  Solar Cycle Number 23 – a progress report , 2002 .

[58]  P. Chu Single GPS antenna attitude determination of a flxed wing aircraft aided with aircraft aerodynamics , 2005 .