Abstract
Hypersonic wind tunnel is a ground-based facility used to study the aerodynamic properties of space vehicles during re-entry. This paper aims at designing an H-infinity controller with krill herd optimization algorithm to regulate pressure inside the settling chamber of a hypersonic wind tunnel. The krill herd algorithm is a novel stochastic algorithm for improving the performance characteristics by optimizing the H-infinity controller parameters. The proposed algorithm minimizes the H-infinity norms by tuning the controller weighing function parameters. The dynamic characteristics of the settling chamber pressure with H-infinity and H-infinity control based on krill herd algorithm is studied by numerical simulations. The proposed algorithm is highly efficient and robust in controlling the settling chamber pressure in terms of performance parameters.
Similar content being viewed by others
References
Nott, C.R., Ölçmen, S.M., Lewis, D.R., and Williams, K., Supersonic, variable-throat, blow-down wind tunnel control using genetic algorithms, neural networks, and gain scheduled PID, Appl. Intell., Springer, 2008, vol. 29, pp. 79–89.
Savino, R., Monti, R., Esposito, A., Lewis, D.R., and Williams, K., Behaviour of hypersonic wind tunnels diffusers at low Reynolds numbers, Aerospace Sci. Technol., 2009, vol. 3, no. 1, pp. 11–19.
Rajani, S.H., Krishna, B.M., and Nair, U., Stability analysis and temperature effect on the settling chamber pressure of a hypersonic wind tunnel, in Proceedings of IEEE International Conference on Computational Intelligence and Computing Research, 2012.
Jacob, V. and Binu, L.S., Adaptive fuzzy PI controller for hypersonic wind tunnel pressure regulation, Proceedings of 10th National Conference on Technological Trends (NCTT), 2009, pp. 184–187.
Yang Ji Lee, Sang Hun Kang, Soo Seok Yang, and Se Jin Kwon, Starting characteristics of the hypersonic wind tunnel with the much number variation, J. Mech. Sci. Technol., 2014, vol. 28, no. 6, pp. 2197–2204.
Braun, E.M., Lu, F.K., Panicker, P.K., Mitchell, R.R., and Wilson, D.R., Supersonic blowdown wind tunnel control using LabVIEW, 46th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, 2008.
Rini Jones, S.B., Poongodi, P., and Binu, L.S, Fuzzy assisted PI controller for pressure regulation in a hypersonic wind tunnel, Int. J. Hybrid Inf. Technol., 2011, vol. 4, no. 1, pp. 13–24.
Bottasso, C.L., Campagnolo, F., and Petrovic, V., Wind tunnel testing of scaled wind turbine models: Beyond aerodynamics, J. Wind Eng. Ind. Aerodyn., 2014, vol. 127, pp. 11–28.
Bhoi, S.R. and Suryanarayana, G.K., Prediction of total pressure characteristics in the settling chamber of a supersonic blowdown wind tunnel, Proceedings of the International Conference on Aerospace Science and Technology, Bangaloire, 2008, pp. 26–28.
Hwang, D.S. and Hsu, P.L., A robust controller design for supersonic intermittent blow down type wind tunnels, Aeronaut. J. R. Aeronaut. Soc., 1998, vol. 102, no. 1013, pp. 161–169.
Rini Jones, S.B., Poongodi, P., and Binu, L.S., Fuzzy assisted PI controller with anti-reset wind up for regulating pressure in a hypersonic wind tunnel, IJCA Special Issue on Artificial Intelligence Techniques-Novel Approaches & Practical Applications, 2011, pp. 29–33.
Rajani, S.H. and Nair, U., Design and analysis of a nonlinear controller for a hypersonic wind tunnel, Proceedings of IEEE International Conference on Computational Intelligence and Computing Research, 2013, pp. 106–109.
Rajani, S.H., Krishna, B.M., and Nair, U., Design and analysis of H-infinity controller for a hypersonic wind tunnel, Proceedings of Elsevier on International Conference on Control Systems and Power Electronics, 2012.
Dolly Mary, A., Mathew, A.T., and Jacob, J., Robust H-infinity (H∞) stabilization of uncertain wheeled mobile robots, Global J. Res. Eng. Electr. Electron. Eng., 2012, vol. 12, no. 1.
Yilmaz, M., Mujeeb, S., and Dhansri, N.R., A H-infinity control approach for oil drilling processes, Procedia Comput. Sci., 2012, vol. 20, pp. 134–139.
Hassibi, B., Erdogan, A.T., and Kailath, T., MIMO linear equalization with an H-infinity criterion, IEEE Trans. Signal Process., 2006, vol. 54, no 9, pp. 499–511.
Vikalo, H., Hassibi, B., Erdogan, A.T., and Kailath, T., On H-infinity design techniques for robust signal reconstruction in noisy filter banks, EURASIP Signal Process., 2005, vol. 85, no. 1, pp. 1–14.
Wang, G.-Ge, Gandomi, A.H., and Alavi, A.H., An effective krill herd algorithm with migration operator in biogeography-based optimization, Appl. Math. Model., 2014, vol. 38, pp. 2454–2462.
Wu, P., Gao, L., Zou, D., et al., An improved particle swarm optimization algorithm for reliability problems, ISA Trans., 2011, vol. 50, no. 1, pp. 71–81.
Gandomi, A.H. and Alavi, A.H., Krill herd: A new bio-inspired optimization algorithm, Commun. Nonlinear Sci. Numer. Simulat., 2012, vol. 17, no. 12, pp. 4831–4845.
Yang, X.S. and Gandomi, A.H., Bat algorithm: A novel approach for global engineering optimization, Eng. Comput., 2012, vol. 29, no. 5, pp. 464–483.
Alfi, A. and Modares, H., System identification and control using adaptive particle swarm optimization, Appl. Math. Model., 2011, vol. 35, no. 3, pp. 1210–1221.
Ali, H.I., Noor, S.B.M., Bashi, S.M., and Marhaban, M.H., Design of H-infinity based robust control algorithms using particle swarm optimization method, Mediterr. J. Measur. Control, 2010, vol. 6, no. 2.
Author information
Authors and Affiliations
Corresponding author
Additional information
The article is published in the original.
About this article
Cite this article
Rajani, S.H., Krishna, B.M. & Nair, U. Pressure regulation inside a hypersonic wind tunnel using H-infinity optimization control. Aut. Control Comp. Sci. 51, 399–409 (2017). https://doi.org/10.3103/S0146411617060074
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0146411617060074