Controller design for highly maneuverable aircraft technology using structured singular value and direct search method

Dlapa, Marek

dc.title	Controller design for highly maneuverable aircraft technology using structured singular value and direct search method	en
dc.contributor.author	Dlapa, Marek
dc.relation.ispartof	2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020
dc.identifier.issn	2373-6720 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-1-72814-277-7
dc.date.issued	2020
dc.citation.spage	529
dc.citation.epage	533
dc.event.title	2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020
dc.event.location	Athens
utb.event.state-en	Greece
utb.event.state-cs	Řecko
dc.event.sdate	2020-09-01
dc.event.edate	2020-09-04
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi	10.1109/ICUAS48674.2020.9214017
dc.relation.uri	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9214017
dc.description.abstract	The algebraic approach is applied to the HiMAT (Highly Maneuverable Aircraft Technology) control. The objective is to find a robust controller which guarantees robust stability and decoupled control of longitudinal model of a scaled remotely controlled vehicle version of the advanced fighter HiMAT. Control design is performed by decoupling the nominal multi-input multi-output system into two identical single-input single-output plants which are approximated by a 4th order transfer function. The algebraic approach is then used for pole placement design and the nominal closed-loop poles are tuned so that the peak of the μ-function is minimal. As an optimization tool, evolutionary algorithm Differential Migration is used in order to overcome the multimodality of the cost function yielding simple controller with decoupling for nominal plant which is compared with the D-K iteration through simulations of standard longitudinal manoeuvres documenting decoupled control obtained from algebraic approach for nominal plant as well as worst case perturbation. © 2020 IEEE.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1010021
utb.identifier.obdid	43881604
utb.identifier.scopus	2-s2.0-85094956954
utb.identifier.wok	000612041300069
utb.source	d-scopus
dc.date.accessioned	2020-11-27T13:06:27Z
dc.date.available	2020-11-27T13:06:27Z
dc.description.sponsorship	Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]
utb.contributor.internalauthor	Dlapa, Marek
utb.fulltext.affiliation	M. Dlapa is with the Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 760 05 Zlin, Czech Rep. (phone: +420 57 603 5314; fax: +420 57 603 5279; e-mail: [email protected]).
utb.fulltext.dates	-
utb.fulltext.references	[1] G. J. Balas, J. C. Doyle, K. Glover, A. Packard, and R. Smith, µ-Analysis and Synthesis Toolbox for Use with MATLAB. The MathWorks, Inc., 1998. [2] M. Dlapa, “Cluster Restarted Differential Migration,“ 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), December 9-12, 2014, Orlando, Florida, USA, pp. 151-159, ISBN 978-1-4799-5375-2/14. [3] M. Dlapa, “General Parametric and Periodic Uncertainties and Time Delay Robust Control Design Toolbox,“ IEEE The 19th International Conference on Industrial Technology (IEEE ICIT 2018), February 20-22, 2018, Lyon, France, pp. 181-186, ISBN 978-1-5090-5948-5. [4] J. C. Doyle, “Analysis of feedback systems with structured uncertainties,” Proceedings of IEEE, Part-D, 129, pp. 242-250, 1982. [5] J. C. Doyle, J. Wall, and G. Stein, “Performance and robustness analysis for structured uncertainty,” Proceedings of the 21st IEEE Conference on Decision and Control, 1982, pp. 629-636 [6] J. C. Doyle, “Structure uncertainty in control system design,” Proceedings of 24th IEEE Conference on Decision and Control, 1985, pp. 260-265. [7] G. L. Hartmann, M. F. Barrett, and C. S. Greene, “Control design for an unstable vehicle,” NASA Dryden Flight Research Centre, Contract Report NAS 4-2578, 1979. [8] V. Kučera, Discrete Linear Control: The Polynomial Equation Approach, Wiley, New York, 1972. [9] P. A. Merkel and R.A. Whitmoyer, “Development and evaluation of precision control modes for fighter aircraft,” Proceedings of the AIAA Guidance and Control Conference, San Diego, CA, 1976, Paper 76-1950. [10] E. Prempain and B. Bergeron, “A Multivariable Two-Degree-Of-Freedom Control Methodology,” Automatica, Elseviere Science Ltd., Vol. 34, No. 12, pp. 1601-1606, 1998. [11] M. Safonov, A. Laub, and G. Hartmann, “Feedback properties of multi-variable systems: The role and use of the return difference matrix,” IEEE Transactions on Automatic Control, Vol. AC-26, No. 1, pp. 47-65, 1981. [12] G. Stein and J. Doyle, “Beyond singular values and loopshapes,” AIAA Journal of Guidance and Control, Vol. 14, No. 1, pp. 5-16, 1991. [13] M. Vidyasagar, Control systems synthesis: a factorization approach, MIT Press. Cambridge, MA, 1985.
utb.fulltext.sponsorship	This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014).
utb.wos.affiliation	[Dlapa, Marek] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation	Tomas Bata University in Zlin, Faculty of Applied Informatics, Zlin, 760 05, Czech Republic
utb.fulltext.projects	LO1303 (MSMT-7778/2014)