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Abstrakty
In this paper, model reference output feedback tracking control of an aircraft subject to additive, uncertain, nonlinear disturbances is considered. In order to present the design steps in a clear fashion: first, the aircraft dynamics is temporarily assumed as known with all the states of the system available. Then a feedback linearizing controller minimizing a performance index while only requiring the output measurements of the system is proposed. As the aircraft dynamics is uncertain and only the output is available, the proposed controller makes use of a novel uncertainty estimator. The stability of the closed loop system and global asymptotic tracking of the proposed method are ensured via Lyapunov based arguments, asymptotic convergence of the controller to an optimal controller is also established. Numerical simulations are presented in order to demonstrate the feasibility and performance of the proposed control strategy.
Czasopismo
Rocznik
Tom
Strony
267--286
Opis fizyczny
Bibliogr. 36 poz., rys., tab., wzory
Twórcy
autor
- Gezgini Inc., Folkart Towers, B Building, Floor: 36, Office: 3608, Izmir, 35580, Turkey
autor
- Department of Electrical and Electronics Engineering, Ege University, Izmir, 35100, Turkey
autor
- Department of Computer Engineering, Gebze Technical University, Kocaeli, 41400, Turkey
Bibliografia
- [1] S.N. Balakrishnan and V. Biega: Adaptive-critic-based neural networks for aircraft optimal control. J. of Guidance, Control, and Dynamics, 19(4), (1996), 893-898, DOI: 10.2514/3.21715.
- [2] B. Bidikli, E. Tatlicioglu, E. Zergeroglu, and A. Bayrak: An asymptotically stable robust controller formulation for a class of MIMO nonlinear systems with uncertain dynamics. Int. J. of Systems Science, 47(12), (2016), 2913-2924, DOI: 10.1080/00207721.2015.1039627.
- [3] B. Bidikli, E. Tatlicioglu, A. Bayrak, and E. Zergeroglu: A new robust integral of sign of error feedback controller with adaptive compensation gain. In IEEE Int. Conf. on Decision and Control, (2013), 3782-3787, DOI: 10.1109/CDC.2013.6760466.
- [4] B. Bidikli, E. Tatlicioglu, and E. Zergeroglu: A self tuning RISE controller formulation. In American Control Conf., (2014), 5608-5613, DOI: 10.1109/ACC.2014.6859217.
- [5] M. Bouchoucha, M. Tadjine, A. Tayebi, P. Mullhaupt, and S. Bouabdallah: Robust nonlinear pi for attitude stabilization of a four-rotor miniaircraft: From theory to experiment. Archives of Control Sciences, 18(1), (2008), 99-120.
- [6] A.E. Bryson and Yu-Chi Ho: Applied Optimal Control: Optimization, Estimation, and Control. Hemisphere, Washington, DC, WA, USA, 1975.
- [7] Agus Budiyono and Singgih S. Wibowo: Optimal tracking controller design for a small scale helicopter. J. of Bionic Engineering, 4 (2007), 271-280, DOI: 10.1016/S1672-6529(07)60041-9.
- [8] Y.N. Chelnokov, I.A. Pankratov, and Y.G. Sapunkov: Optimal reorientation of spacecraft orbit. Archives of Control Sciences, 24(2), (2014), 119-128, DOI: 10.2478/acsc-2014-0008.
- [9] W.-H. Chen, D.J. Ballance, P.J. Gawthrop, and J. O’Reilly: A nonlinear disturbance observer for robotic manipulators. IEEE Tr. on Industrial Electronics, 47(4), (2000), 932-938, DOI: 10.1109/41.857974.
- [10] R. Czyba and L. Stajer: Dynamic contraction method approach to digital longitudinal aircraft flight controller design. Archives of Control Sciences, 29(1), (2019), 97-109, DOI: 10.24425/acs.2019.127525.
- [11] Z.T. Dydek, A.M. Annaswamy, and E. Lavretsky: Adaptive control and the NASA X-15-3 flight revisited. IEEE Control Systems, 30(3), (2010), 32-48, DOI: 10.1109/MCS.2010.936292.
- [12] E.N. Johnson and A.J. Calise: Pseudo-control hedging: a new method for adaptive control. In Workshop on advances in navigation guidance and control technology, pages 1-23, (2000).
- [13] H.K. Khalil and J.W. Grizzle: Nonlinear systems. Prentice Hall, New York, NY, USA, 2002.
- [14] D.E. Kirk: Optimal Control Theory: An Introduction. Dover, 2012.
- [15] L.-V. Lai, C.-C. Yang, and C.-J. Wu: Time-optimal control of a hovering quadrotor helicopter. J. of Intelligent and Robotic Systems, 45 (2006), 115-135, DOI: 10.1007/s10846-005-9015-3.
- [16] J. Leitner, A. Calise, and JV.R. Prasad: Analysis of adaptive neural networks for helicopter flight control. J. of Guidance, Control, and Dynamics, 20(5), (1997), 972-979, DOI: 10.2514/2.4142.
- [17] F.L. Lewis, D. Vrabie, and V.L. Syrmos: Optimal Control. John Wiley & Sons, 2012.
- [18] W. MacKunis: Nonlinear Control for Systems Containing Input Uncertainty via a Lyapunov-based Approach. PhD thesis, University of Florida, Gainesville, FL, USA, 2009.
- [19] W. MacKunis, P.M. Patre, M.K. Kaiser, and W.E. Dixon: Asymptotic tracking for aircraft via robust and adaptive dynamic inversion methods. IEEE Tr. on Control Systems Technology, 18(6), (2010), 1448-1456, DOI: 0.1109/TCST.2009.2039572.
- [20] S. Mishra, T. Rakstad, and W. Zhang: Robust attitude control for quadrotors based on parameter optimization of a nonlinear disturbance observer. J. of Dynamic Systems, Measurement and Control, 141(8), (2019), 081003, DOI: 10.1115/1.4042741.
- [21] R.M. Murray: Recent research in cooperative control of multivehicle systems. J. of Dynamic Systems, Measurement and Control, 129 (2007), 571-583, DOI: 0.1115/1.2766721.
- [22] D. Nodland, H. Zargarzadeh, and S. Jagannathan: Neural networkbased optimal adaptive output feedback control of a helicopter UAV. IEEE Trans. on Neural Networks and Learning Systems, 24(7), (2013), 1061-1073, DOI: 10.1109/TNNLS.2013.2251747.
- [23] A. Phillips and F. Sahin: Optimal control of a twin rotor MIMO system using LQR with integral action. In IEEE World Automation Cong., (2014), 114-119, DOI: 10.1109/WAC.2014.6935709.
- [24] Federal Aviation Administration. Federal aviation regulations. part 25: Air-worthiness standards: Transport category airplanes, 2002.
- [25] R.R. Costa, L. Hsu, A.K. Imai, and P. Kokotovic: Lyapunov-based adaptive control of MIMO systems. Automatica, 39(7), (2003), 1251-1257, DOI: 10.1016/S0005-1098(03)00085-2.
- [26] A.C. Satici, H. Poonawala, and M.W. Spong: Robust optimal control of quadrotor UAVs. IEEE Access, 1 (2013), 79-93, DOI: 10.1109/ACCESS.2013.2260794.
- [27] R.F. Stengel: Optimal Control and Estimation. Dover, 1994.
- [28] V. Stepanyan and A. Kurdila: Asymptotic tracking of uncertain systems with continuous control using adaptive bounding. IEEE Trans. on Neural Networks, 20(8), (2009), 1320-1329, DOI: 10.1109/TNN.2009.2023214.
- [29] B.L. Stevens and F.L. Lewis: Aircraft control and simulation. John Wiley & Sons, New York, NY, USA, 2003.
- [30] I. Tanyer, E. Tatlicioglu, and E. Zergeroglu: A robust adaptive tracking controller for an aircraft with uncertain dynamical terms. In IFAC World Cong., (2014), 3202-3207, DOI: 10.3182/20140824-6-ZA-1003.01515.
- [31] I. Tanyer, E. Tatlicioglu, and E. Zergeroglu: Neural network based robust control of an aircraft. Int. J. of Robotics & Automation, 35(1), (2020), DOI: 10.2316/J.2020.206-0074.
- [32] I. Tanyer, E. Tatlicioglu, E. Zergeroglu, M. Deniz, A. Bayrak, and B. Ozdemirel: Robust output tracking control of an unmanned aerial vehicle subject to additive state-dependent disturbance. IET Control Theory & Applications, 10(14), (2016), 1612–1619, DOI: 10.1049/iet-cta.2015.1304.
- [33] G. Tao: Adaptive control design and analysis. John Wiley & Sons, New York, NY, USA, 2003.
- [34] Q. Wang and R.F. Stengel: Robust nonlinear flight control of a high performance aircraft. IEEE Tr. on Control Systems Technology, 13(1), (2005), 15-26, DOI: 10.1109/TCST.2004.833651.
- [35] H-N. Wu, M-M. Li, and L. Guo: Finite-horizon approximate optimal guaranteed cost control of uncertain nonlinear systems with application to Mars entry guidance. IEEE Trans. on Neural Networks and Learning Systems, 26(7), (2015), 1456-1467, DOI: 10.1109/TNNLS.2014.2346233.
- [36] Q. Xie, B. Luo, F. Tan, and X. Guan: Optimal control for vertical take-off and landing aircraft non-linear system by online kernel-based dual heuristic programming learning. IET Control Theory & Applications, 9(6), (2015), 981-987, DOI: 10.1049/iet-cta.2013.0889.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16cb121c-4319-49f6-ba60-0b64cba8e795