The most fundamental concept in designing multi-lane smart electromechanical actuation systems, besides meeting performance requirements, is the realization of high integrity. The main aim of this paper is to discuss fundamental consolidation designs and monitoring schemes in different architectures and to address threshold settings methodologies, inherent randomness, lane equalization, and control strategy. The analysis is based on a 4-lane actuation system capable of driving aerodynamic and inertial loads (with 2 lanes failed) of an aileron control surface similar to that of the Sea Harrier.
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- ATWi :
Control parameters in ANOVA
- BTwi, … Cost00 :
Cost of accepting hypothesis ℜ0 when hypothesis ℜ0 is true
- Cost11 :
Cost of accepting hypothesis ℜ1 when hypothesis ℜ1 is true
- Cost01 :
Cost of accepting hypothesis ℜ0 when hypothesis ℜ1 is true
- Cost10 :
Cost of accepting hypothesis ℜ1 when hypothesis ℜ0 is true
- KA, KB :
Number of levels in the control
factors ATWi, BTWi, …
- Kc :
Number of interactions between ATWi, BTwi
- K1 & K2 :
Constants to be evaluated
- LATWi :
Levels of control parameter ATWLi
- LBTWi :
Levels of control parameter BTWLi
- NATWi :
Number of simulation tests for control parameter ATWi
- NBTWi :
Number of simulation tests for control parameter BTWi
- Nobs :
Total number of observations
- Pℜ0 :
Priori probability that hypothesis ℜ0 will occur
- PR1 :
Priori probability that hypothesis ℜ1 will occur
Sample size (to be determined) with certain confidence level
- SSA :
Variation due to control parameter ATWi
- SSAxB :
Variation due to interaction between ATWi and BTWi
- SSB :
Variation due to control parameter BTWi
- SSe :
Error sums of squares
- SST :
Sums of squares
- Tobs :
Sum of all observations
- T obs :
Average of all observations =Tobs/ Nobs, global mean
- ZT :
- δa=18°|M :
18° Aileron deflection at Mach
Expected Bays Risk value
Abramowitz, M. and Stegum, I. A., 1956, Handbook of mathematical functions with formulas, graphs and mathematical tables.
Annaz, F. Y., 2005, “Fundamental Design Concepts in Multi-lane Smart Electromechanical Actuators, Smart Materials and Structures,”Smart Mater. Struct. Vol. 14, pp. 1227–1238.
Annaz, F. Y., 1996, “Architecture and Monitoring Methods in High Integrity Multi-lane Smart Electric Control Surface Actuators,” Ph.D. Thesis, QMW, University of London.
Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A., 1983,Graphical methods for data analysis, California: Wadsworth International Group, Duxbuy Press.
Hammersley, J. M. and Hadscomb, D. C., 1964,Monte Carlo Methods, Methuen & Co. Ltd., London, John Wiley & Sons Inc., New York.
Ermakov, J. M., 1976, Monte Carlo Methods and related questions.
Kalos, M. H. and Whitlock, P. A., 1986,Monte Carlo Methods, Volume 1, John Wiley & Sons.
Mil-F-83300, 1970, flying qualities of piloted VSTOL aircraft.
Mil-C-18244, 1970, flying qualities of piloted VSTOL aircraft.
Patton, P., Frank and Clark, R., 1989,Fault diagnosis in dynamic systems, theory and application, Series in systems and control engineering.
Ross, P. J., 1989,Taguchi Techniques for quality engineering, McGraw-Hill Book Company.
Rubinstein, R. Y., 1981,Simulation and The Monte Carlo Method, John Wiley & Sons Inc.
Sage, A. P. and Melsa, J. L., 1971,Estimation theory with applications to communications and Control, McGraw-Hill Book Company, New York.
Snell, J. L., 1988,Introduction to Probability, Random House, 1st Edition.
Spiegel, M., 1961, Schaum’s Outline series theory and problems of statistics, McGraw-Hill Book Company.
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Annaz, F.Y. Technology transfer of aircraft actuation to marine and propulsion. J Mech Sci Technol 21, 950–954 (2007). https://doi.org/10.1007/BF03027075
- Multi-lane electromechanical actuator