This document summarizes a study on implementing and validating voting algorithms for an aerospace engine control system. Two voting algorithms, plurality voting and approval voting, were designed and developed in MATLAB/Simulink and implemented on target hardware in real-time. The performance of the algorithms was evaluated and compared in simulation and on the hardware. The results showed that plurality voting with a mean computation had better time complexity than approval voting.

1. 6th National Conference on Nanoscience and Instrumentation Technology, March 29-30, 2018
Implementation and Validation of Voting Algorithms for a developmental Aero
Engine Control System
N. Premnath*, Santhosh Muthe, Neena Jaggi
Department of Physics, National Institute of Technology, Kurukshetra – 136119, Haryana.
*Email: premnagappan@yahoo.com
ABSTRACT
Aero engine controller is a safety critical system built a Fault Tolerant
concept. Using reliable engine sensor signals in controlling the aero
engine is mandatory. In order to enhance the reliability of the
controller, a robust data validation criteria needs to be designed and
implemented. In this paper, voting algorithms to handle aero engine
sensor inputs have been designed, developed and implemented on
MATLAB/Simulink environment. Further the validation of these
voting algorithms has been carried out by implementing on target
hardware (controller unit) in real time. This voting technique Inexact
plurality voting and approval voting techniques are implemented. The
performance evaluation of these techniques has been compared both in
simulation as well as on the target hardware.
0500
R
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THEORY OF VOTING ALGORITHM
CONCLUSIONS
Two voting algorithms namely Plurality voting and Approval voting
have been implemented and the performance study both in
simulation and on real time target hardware indicate that plurality
voting with mean as final computation has better time complexity.
Further the size of the time history of sensors and effect of threshold
value on false alarm rates need to be established experimentally.
e) Flow chart for Final Computation
REFERENCES
1. Behrooz parhami, Voting Algorithms, 3rd ed. IEEE Transactions
on Relieablity,1994 December.
2. Matlab Simulink Documentation.
DESIGN OF VOTING ALGORITHM- ACASE STUDY
a) Real time execution scenario b) Flow chart for consensus
c) Flow chart for Majority d) Flow chart for Approval
ANALYSIS USING LOWER TRINAGULAR MATRIX
a) One sensor faulty b)Two sensors faulty c) All sensors faulty
TEST AND RESULTS
a) Inclusion of faulty sensor b) Exclusion of faulty sensor
c) Sensor status d) Real Time Execution
timing(µs)
Voting Mean Median
Plurality 78 80
Approval 85 88