A mathematical model to optimize the reliability of the satellite attitude determination and control system

Document Type : Article

Authors

1 Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

2 Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran

Abstract

The key issue in this study has been the integration of redundancy allocation and optimization of failure rates. The fact that we only need to work with parallel allocation and increase the number of components in a subsystem in parallel to improve the reliability or availability of parallel-series systems is necessary, but not enough. It is worth mentioning that in this research, the improvement of failure rates of different components in the system has been studied. In the meantime, it is important to note that with careful study of the effects of each of these approaches and the costs imposed on the system, the design problem data will be formed. Considering that more effort to improve the reliability of components leads to less redundancy allocation and vice versa, the optimization problem is performed to determine the exact number of redundancies along with determining the exact amount of improvements in complete failure rates. In this research, the satellite attitude determination and control system, the structure of the studied system and its components is introduced, then the reliability in this system is modeled and optimized with a mathematical approach based on the combination of reliability allocation and redundancy allocation.

Keywords

References

References:
1. Kim, D.S., Lee, S.M., Jung, J.H., et al. "Reliability and availability analysis for an on board computer in a satellite system using standby redundancy and rejuvenation", Journal of Mechanical Science and Technology, 26(7), pp. 2059-2063 (2012).
2. Lakshminarayana, V., Karthikeyan, B., Hariharan, V.K., et al. "Impact of space weather on spacecraft", In 2008 10th International Conference on Electromagnetic Interference & Compatibility, pp. 481-486 (2008).
3. Poulsen, K. "Satellites at risk of hacks", Security Focus (2002).
4. Huang, Y., Kintala, C., Kolettis, N., et al. "Software rejuvenation: Analysis, module and applications", In Twenty-Fifth International Symposium on Fault-Tolerant Computing, pp. 381-390 (1995).
5. Castet, J.F. and Saleh, J.H. "Satellite and satellite subsystems reliability: Statistical data analysis and modeling", Reliability Engineering & System Safety, 94(11), pp. 1718-1728 (2009).
6. Castet, J.F. and Saleh, J.H. "Beyond reliability, multistate failure analysis of satellite subsystems: a statistical approach", Reliability Engineering & System Safety, 95(4), pp. 311-322 (2010).
7. Nagiya, K. and Ram, M. "Reliability characteristics of a satellite communication system including earth station and terrestrial system", International Journal of Performability Engineering, 9(6), pp. 667-676 (2013).
8. Fyffe, D.E., Hines, W.W., and Lee, N.K. "System reliability allocation and a computational algorithm", IEEE Transactions on Reliability, 17(2), pp. 64-69 (1968).
9. Nakagawa, Y. and Miyazaki, S. "Surrogate constraints algorithm for reliability optimization problems with two constraints", IEEE Transactions on Reliability, 30(2), pp. 175-180 (1981).
10. Garg, H. and Sharma, S.P. "Multi-objective reliabilityredundancy allocation problem using particle swarm optimization", Computers & Industrial Engineering, 64(1), pp. 247-255 (2013).
11. Khalili-Damghani, K., Abtahi, A.R., and Tavana, M. "A decision support system for solving multi-objective redundancy allocation problems", Quality and Reliability Engineering International, 30(8), pp. 1249-1262 (2014).
12. Chambari, A., Najafi, A.A., Rahmati, S.H.A., et al. "An efficient simulated annealing algorithm for the redundancy allocation problem with a choice of redundancy strategies", Reliability Engineering & System Safety, 119, pp. 158-164 (2013).
13. Gago, J., Hartillo, I., Puerto, J., et al. "Exact cost minimization of a series-parallel reliable system with multiple component choices using an algebraic method", Computers & Operations Research, 40(11), pp. 2752-2759 (2013).
14. Ebrahimipour, V., Asadzadeh, S.M., and Azadeh, A. "An emotional learning-based fuzzy inference system for improvement of system reliability evaluation in redundancy allocation problem", The International Journal of Advanced Manufacturing Technology, 66(9- 12), pp. 1657-1672 (2013).
15. Liu, Y., Huang, H.Z., Wang, Z., et al. "A joint redundancy and imperfect maintenance strategy optimization for multi-state systems", IEEE Transactions on Reliability, 62(2), pp. 368-378 (2013).
16. Ding, Y. and Lisnianski, A. "Fuzzy universal generating functions for multi-state system reliability assessment", Fuzzy Sets and Systems, 159(3), pp. 307-324 (2008).
17. Ouzineb, M., Nourelfath, M., and Gendreau, M. "A heuristic method for non-homogeneous redundancy optimization of series-parallel multi-state systems", Journal of Heuristics, 17(1), pp. 1-22 (2011).
18. Sharma, V.K. and Agarwal, M. "Ant colony optimization approach to heterogeneous redundancy in multistate systems with multi-state components", In 2009 8th International Conference on Reliability, Maintainability and Safety, pp. 116-121 (2009).
19. Ouzineb, M., Nourelfath, M., and Gendreau, M. "Tabu search for the redundancy allocation problem of homogenous series-parallel multi-state systems", Reliability Engineering & System Safety, 93(8), pp. 1257-1272 (2008).
20. Levitin, G., Xing, L., Ben-Haim, H., et al. "Reliability of series-parallel systems with random failure propagation time", IEEE Transactions on Reliability, 62(3), pp. 637-647 (2013).
21. Lins, I.D. and Droguett, E.L. "Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation", Simulation Modelling Practice and Theory, 19(1), pp. 362-381 (2011).
22. Lins, I.D. and Droguett, E.L. "Multiobjective optimization of availability and cost in repairable systems design via genetic algorithms and discrete event simulation", Pesquisa Operacional, 29(1), pp. 43-66 (2009).
23. Maatouk, I., Chatelet, E., and Chebbo, N. "Availability maximization and cost study in multi-state systems", In 2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS), pp. 1-6 (2013).
24. Garg, H., Rani, M., and Sharma, S.P. "An efficient two phase approach for solving reliability-redundancy allocation problem using artificial bee colony technique", Computers & Operations Research, 40(12), pp. 2961- 2969 (2013).
25. Ebrahimipour, V. and Sheikhalishahi, M. "Application of multi-objective particle swarm optimization to solve a fuzzy multi-objective reliability redundancy allocation problem", In 2011 IEEE International Systems Conference, pp. 326-333 (2011).
26. Miriha, M., Niaki, S.T.A., Karimi, B., et al. "Biobjective reliability optimization of switch-mode kout-of-n series-parallel systems with active and cold standby components having failure rates dependent on the number of components", Arabian Journal for Science and Engineering, 42(12), pp. 5305-5320 (2017).
27. Mousavi, S.M., Alikar, N., Niaki, S.T.A., et al. "Two tuned multi-objective meta-heuristic algorithms for solving a fuzzy multi-state redundancy allocation problem under discount strategies", Applied Mathematical Modelling, 39(22), pp. 6968-6989 (2015).
28. Zaretalab, A., Hajipour, V., Sharifi, M., et al. "A knowledge-based archive multi-objective simulated annealing algorithm to optimize series-parallel system with choice of redundancy strategies", Computers & Industrial Engineering, 80, pp. 33-44 (2015).
29. Holland, J.H., Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, MIT press (1992).
30. Gen, M., Cheng, R., and Wang, D. "Genetic algorithms for solving shortest path problems", In Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC'97), pp. 401-406 (1997).
31. Tavakkoli-Moghaddam, R., Safari, J., and Sassani, F. "Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm", Reliability Engineering & System Safety, 93(4), pp. 550-556 (2008).
32. Rastrigin, L.A. "The convergence of the random search method in the extremal control of a many parameter system", Automaton and Remote Control, 24, pp. 1337-1342 (1963).
33. Montgomery, D.C., Design and Analysis of Experiments, John Wiely and Sons (2017).
Scientia Iranica
Volume 29, Issue 6 - Serial Number 6
Transactions on Industrial Engineering (E)
November and December 2022
Pages 3505-3522

Files

Share

How to cite

Statistics