Virtual sensor for fault detection and isolation in flight control systems - Fuzzy modeling approach
Delft University of Technology, Delft, South Holland, Netherlands
DOI: 10.1109/CDC.2000.914204 Conference: Decision and Control, 2000. Proceedings of the 39th IEEE Conference on, Volume: 3
A virtual sensor for normal acceleration has been developed and
implemented in the flight control system of a small commercial aircraft.
The inputs of the virtual sensor are the consolidated outputs of
dissimilar sensor signals. The virtual sensor is a fuzzy model of the
Takagi-Sugeno type and it has been identified from simulated data, using
a detailed, realistic Matlab/SimulinkTM model used by the
aircraft manufacturer. This virtual sensor can be applied to identify a
failed sensor in the case that only two real sensors are available and
even to detect a failure of the last available sensor
Available from: Zubair Khalid
- "Sensor virtualization is another approach of programming the sensor that is by injecting fresh code into each node dynamically and changing its attributes, using this approach an error correction scheme is presented by reference . Virtual Sensor Networks (VSN) middleware can also be based upon Fuzzy logic, as proposed by . Network virtualization in WSN focuses on algorithms and protocol that links with the various underlying WSNs for the formation, merging, splitting, adding and deleting nodes as proposed in . "
Available from: Spilios Fassois
- "Aircraft schematic and functional diagram of the aircraft model , . the Takagi–Sugeno type for the identification of failed physical sensors, is presented in Oosterom and Babuska . "
[Show abstract] [Hide abstract]
ABSTRACT: Aircraft sensors are important for proper operation and safety, and their condition is conventionally monitored based upon the hardware redundancy principle. In this work a statistical method capable of independently monitoring a single sensor, and thus enhancing reliability and overall system safety, is introduced. The method's main advantages are simplicity, applicability to a wide variety of aircraft operating conditions, the handling of uncertainties, no need for additionally monitored signals, and no need for physics based aircraft dynamics models. The method is based on a statistical time series framework accounting for random effects and uncertainties, and exploits the fact that abrupt faults are characterized by time constants smaller than those of the aircraft. It employs monitored signal nonstationarity removal, signal whitening via novel pooled autoregressive modeling, statistical decision making, as well as electronic spike/glitch removal logic. The method effectiveness is demonstrated within the simulation environment of a small commercial aircraft via test cases and Monte Carlo experiments with abrupt faults occurring in an angle-of-attack sensor.
Available from: Gunnar Bolmsjö
- "Virtual sensors are presently used in many application areas, such as robotics, aerospace and marine technologies    . The development of new robot systems, such as for seam tracking may be accelerated by the application of simulation. "
[Show abstract] [Hide abstract]
ABSTRACT: New areas in welding large structures in shipbuilding include joining large sections such as double-hull constructions. Joining these sections create great problems for a manual welder since the welding takes place in a closed area with associated work environmental problems. The ac- cessibility to the working area is limited to a man-hole and the use of robots for welding such structures requires new robot design that are adapted for the task as well as the additional requirements of one-o production. This paper will describe research work and results within the ROWER- 2 project. The aim of the project is to design a robot system for joining ship sections in the final stage when ship sections are to be assembled together in dry dock. Due to a high degree of manual work involved in the assembly procedure of the ship, the project addresses both produc- tivity and quality issues. In addition, much welding operations are done in closed areas and the improvement of working conditions is of great importance as well. An important part within the project is to develop control algorithms for seam tracking during welding. The aim is to be able to cope with toler- ances in the joints after manual set-up and tack welding of the structure. The seam tracking method is based on the "through-arc" principle and development of the algorithms was made using simulation techniques. A special software system, FUSE, was developed for this purpose that seam-
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.