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State Observer based Adaptive Fuzzy Backstepping Compensation Control of Passive Torque Simulator

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Kompensujące sterowanie adaptacyjne rozmyte z krokiem wstecz dla symulatora momentu pasywnego – obserwator stanu
Języki publikacji
EN
Abstrakty
EN
Passive Torque Simulator (PTS) is an important ground based hardware tester simulator used for qualification of flight actuation system under aerodynamics torque loading .In this work extra torque disturbance due to actuator motion under test is analyzed and fuzzy Backstepping control with online parameters tuning scheme is proposed. Since extra torque affects both transient and steady state performance of the control loop, high gain adaptive control is investigated to improve the transient response of PTS torque tracking. Finally fuzzy Back stepping control with online parameters tuning scheme is proposed to improve torque tracking performance of load simulator both in transient and steady state. Simulations results show the validity of proposed control.
PL
W artykule przedstawiono analizę wpływu ruchu siłownika w czasie testu, na zakłócenia pomiaru momentu obciążenia na potrzeby symulatora obciążenia aerodynamicznego w systemie siłowników (ang. Passive Torque Simulator). W algorytmie wykorzystano sterowanie oparte na logice rozmytej z krokiem wstecz i parametrami dobieranymi online.
Rocznik
Strony
160--165
Opis fizyczny
Bibliogr. 23 poz., schem., tab., wykr.
Twórcy
autor
  • School of Automation sciences and Electrical Engineering, Beihang University (BUAA), Beijing China
autor
  • School of Automation sciences and Electrical Engineering, Science and Technology on Aircraft control Laboratory , Beihang University (BUAA), Beijing China
Bibliografia
  • [1] J. Zongxia, L. Chenggong, and R. Zhiting, The extraneous torque and compensation control on the electrical load simulator, 5th International symposium on instrumentation and control technology, SPIE vol. 5253, pp.723-727,2003.
  • [2] Xingjian Wang, Shaoping Wang and Bin Yao, Adaptive Robust Control of Linear Electrical Loading Simulator with dynamic friction compensation, IEEE/ASME International conference on advance intelligence and mechatronics, pp. 908-914, July 6-9, 2010
  • [3] S.H.Kim, S.H.Park, and S.I.Han, Precise friction control for the nonlinear friction system using the friction state observer and sliding mode control with recurrent fuzzy neural networks, Mechatronics , Vol. 19 , pp. 805–815, 2009.
  • [4] B.S.Kim and S.I.Han, Non-linear friction compensation using Backstepping control and robust friction state observer with recurrent fuzzy neural networks, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control engineering , vol. 223, No.7, pp. 973-988, 2009.
  • [5] Nasim-Ullah, Shaoping-Wang and Aslam-Jawad, Adaptive Robust Control of Electrical Load Simulator based on fuzzy logic compensation, International conference of Fluid Power and Mechatronics , pp.861-867, 17 - 20 August 2011, Beijing China
  • [6] X .Wang, S.Wang, and X. Wang, Electrical load symulator based on Velocity loop compensation and improved fuzzy PID, IEEE International synposium on industrial electronics, pp.238-243, July 5-8 ,2009.
  • [7] Q. Fang, Y. Yao, and X.C. Wang, Disturbance observer design for electric aerodynamics load simulator, proceedings of 4th International Conference on machine learning and cybernets, pp. 1316-1321, August 18-21 2005.
  • [8] R. Yuan, J. Luo, Z. Wu, and K. Zhao ,Study on Passive Torque Servo System Based on H Infinity Robust Controller, Proceedings of the 2006 IEEE International Conference on robotics and biometrics,pp. 369-373, December 17- 20, 2006,Kunming, China.
  • [9] J. Fan, Z. Zheng, and M. Lv, Optimal sliding mode variable structure Control for Load simulator, 2nd International symposium on systems and control in aerospace and aeronautics, pp.1-4, 2008.
  • [10] X. Wang, and D. Feng, A Study on Dynamics of Electric Load Simulator using spring beam and feed forward Control technique, Chinese Control and Decision Conference , pp.362-367, 2009.
  • [11] Y. Huang, K. Chen, and J. Wei, Robust Controller Design and Experiment for Electric Load Simulator, 3rd International Conference on advance computer theory and engineering, pp.236-240, 2010.
  • [12] W. Xin, and F. D Zhu, Load Simulator Design and Ground Test of Near Space Hypersonic Vehicle, Journal of System Simulation, vol. 21, No.19, pp.6057-6061, 2009.
  • [13] L. Peng, and L.Hui, Controller Design for missile rudder electric Loading simulation system, Journal of Computer, measurement and Control, 2010
  • [14] G. Jing, L. Cao and R. M. In, Simulation of control method of torque Servo system with position disturbance, Journal of Beijing Institute of machinery, Vol. 20, No. 2, Jun. 2005
  • [15] X. Wang, D. Feng, and S. Sun, Electric load motion control system Design with invariance theory, IEEE Chinese Control and Decision Conference (CCDC), pp.253-257, June 17-19, 2009.
  • [16] Z.Hui, Z.G.Bao and F.S.Min, Enhanced Model Reference Adaptive Backstepping Control of Permanent Magnet Synchronous Generator Equipped Wind Energy Conversion System with Stator Parameters Varying, Chinese Control and Decision Conference (CCDC), pp.133-138,2011.
  • [17] L.Hai, Y.W.Sheng, L.Hong and Y.Wei, Model reference adaptive Backstepping based direct torque control of PM synchronous motor drives, 4th IEEE Conference on Industrial Electronics and Applications, pp. 1173-1178, 2009.
  • [18] Z.Yaou, Z.Wansheng and K.Xiaoming, Control of the permanent magnet synchronous motor using model reference dynamic inversion, WSEAS transaction on systems and control, Vol, 5, No. 5, 2010
  • [19] A.M.Kassem and A.A. Hassan, Performance Improvements of a Permanent Magnet Synchronous Machine via Functional Model Predictive Control, Journal of Control Science and Engineering, Volume 2012, pp. 1-8, 2012.
  • [20] J.X.Xu T.H.Lee Q.W.Jia and M.Wang ,On adaptive robust Backstepping control schemes suitable for PM synchronous motors, International Journal of Control,vol. 70, pp. 893-920,1998
  • [21] Nasim-Ullah and Shaoping-Wang, Improved torque control of electrical load simulator with parameter and state, World Academy of Science, Engineering and Technology, vol. 60, No. 302, pp.1684-1690, 2011
  • [22] X-Wang and N-Hovakimyan, L1 adaptive controller for nonlinear time-varying reference systems, systems and control Letters, Vol. 61, pp. 455-463, 2012.
  • [23] B. K. Yoo, and W. C. Ham, Adaptive Control of Robot Manipulators Using Fuzzy Compensator, IEEE Transaction on Fuzzy Systems, Vol.8, No.2, pp.186-199, April 2000
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-195608d5-3073-4644-acd7-22f61aed3f9c
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