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Volume 2 Issue 1
Jan.  2015

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Yanlong Zhou, Mou Chen and Changsheng Jiang, "Robust Tracking Control of Uncertain MIMO Nonlinear Systems with Application to UAVs," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 1, pp. 25-32, 2015.
Citation: Yanlong Zhou, Mou Chen and Changsheng Jiang, "Robust Tracking Control of Uncertain MIMO Nonlinear Systems with Application to UAVs," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 1, pp. 25-32, 2015.

Robust Tracking Control of Uncertain MIMO Nonlinear Systems with Application to UAVs

Funds:

This work was supported by National Natural Science Foundation of China (61174102), Jiangsu Natural Science Foundation of China (SBK20130033), Aeronautical Science Foundation of China 20145152029) and Specialized Research Fund for the Doctoral Program of Higher Education (20133218110013).

  • In this paper, we consider the robust adaptive tracking control of uncertain multi-input and multi-output (MIMO) nonlinear systems with input saturation and unknown external disturbance. The nonlinear disturbance observer (NDO) is employed to tackle the system uncertainty as well as the external disturbance. To handle the input saturation, an auxiliary system is constructed as a saturation compensator. By using the backstepping technique and the dynamic surface method, a robust adaptive tracking control scheme is developed. The closed-loop system is proved to be uniformly ultimately bounded thorough Lyapunov stability analysis. Simulation results with application to an unmanned aerial vehicle (UAV) demonstrate the effectiveness of the proposed robust control scheme.

     

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  • [1]
    Chen M, Jiang B, Wu Q X, Jiang C S. Robust control of near-space vehicles with input backslash-like hysteresis. Proceedings of the Institutior of Mechanical Engineers, Part I:Journal of Systems and Control Engineering, 2013, 227(8):635-644
    [2]
    Ji Chen-Xin. Key technology and application of military unmanned aerial vehicles. Modern Defence Technology, 2009, 37(6):26-30(in Chinese)
    [3]
    Wang Qin, Ye Yun-Qing. Application of unmanned aerial vehicle in navy. Command Information System and Technology, 2012, 3(4):36-40(in Chinese)
    [4]
    Wang F, Cui J Q, Chen B M, Lee T H. A comprehensive UAV indoor navigation system based on vision optical flow and laser fastslam. Acta Automatic Sinica, 2013, 39(11):1889-1990
    [5]
    Kang Y, Hedrick J K. Linear tracking for a fixed-wing UAV using nonlinear model predictive control. IEEE Transactions on Control Systems Technology, 2009, 17(5):1202-1210
    [6]
    Dierks T, Jagannathan S. Output feedback control of a quadrotor UAV using neural networks. IEEE Transactions on Neural Networks, 2010, 21(1):50-66
    [7]
    Nodland D, Zargarzadeh H, Jagannathan S. Neural network-based optimal adaptive output feedback control of a helicopter UAV. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(7):1061-1073
    [8]
    Chen M, Mei R, Jiang B. Sliding mode control for a class of uncertain MIMO nonlinear systems with application to near-space vehicles. Mathematical Problems in Engineering, 2013, DOI: 10.1155/2013/180589
    [9]
    Dydek Z T, Annaswamy A M, Lavretsky E. Adaptive control of quadrotor UAVs:a design trade study with flight evaluations. IEEE Transactions on Control Systems Technology, 2013, 21(4):1400-1406
    [10]
    Chen W H, Ballance D J, Gawthrop P J, O0Reilly J. A nonlinear disturbance observer for robotic manipulators. IEEE Transactions on Industrial Electronics, 2000, 47(4):932-938
    [11]
    Chen W H. Nonlinear disturbance observer-enhanced dynamic inversion control of missiles. Journal of Guidance, Control, and Dynamics, 2003, 26(1):161-166
    [12]
    Chen M, Chen W H. Sliding mode control for a class of uncertain nonlinear systems based on disturbance observer. International Journal of Adaptive Control and Signal Processing, 2010, 24(1):51-64
    [13]
    Qian C S, Sun C Y, Huang Y Q, Mu C X, Zhang J M, Zhang R M. Design of flight control system for a hypersonic gliding vehicle based on nonlinear disturbance observer. In:Proceedings of the 10th IEEE International Conference on Control and Automation. Hangzhou, China:IEEE, 2013. 1573-1577
    [14]
    Pu Ming, Wu Qing-Xian, Jiang Chang-Sheng, Cheng Lu. Application of adaptive second-order dynamic terminal sliding mode control to near space vehicle. Journal of Aerospace Power, 2010, 25(5):1169-1176(in Chinese)
    [15]
    Guo Tao, Wang Ding-Lei, Wang Ai-Min. Adaptive backstepping control for constrained systems using nonlinear mapping. Acta Automatic Sinica, 2013, 39(9):1558-1563(in Chinese)
    [16]
    Cui R X, Ren B B, Ge S S. Synchronised tracking control of multi-agent system with high-order dynamics. IET Control Theory and Applications, 2012, 6(5):603-614
    [17]
    Wang H Q, Chen B, Lin C. Adaptive neural tracking control for a class of perturbed pure-feedback nonlinear systems. Nonlinear Dynamics, 2013, 72(1-2):207-220
    [18]
    Li T S, Li R H, Wang D. Adaptive neural control of nonlinear MIMO systems with unknown time delays. Neurocomputing, 2012, 78(1):83-88
    [19]
    Li Y M, Tong S C, Li T S. Adaptive fuzzy output feedback control of MIMO nonlinear uncertain systems with time-varying delays and unknown backlash-like hysteresis. Neurocomputing, 2012, 93:56-66
    [20]
    Swaroop D, Hedrick J K, Yip P P, Gerdes J C. Dynamic surface control for a class of nonlinear systems. IEEE Transactions on Automatic Control, 2000, 45(10):1893-1899
    [21]
    Li Tie-Shan, Zou Zao-Jian, Luo Wei-Lin. DSC-backstepping based robust adaptive NN control for nonlinear systems. Acta Automatica Sinica, 2008, 34(11):1424-1430(in Chinese)
    [22]
    Xu Y Y, Tong S C, Li Y M. Adaptive fuzzy fault-tolerant decentralized control for uncertain nonlinear large-scale systems based on dynamic surface control technique. Journal of the Franklin Institute, 2014, 351(1):456-472
    [23]
    Li T S, Zhang H Y, Yang X Y. DSC approach to robust adaptive fuzzy tracking control for strict-feedback nonlinear systems. In:Proceedings of the 5th International Conference on Fuzzy Systems and Knowledge Discovery. Jinan, China:IEEE, 2008. 70-74
    [24]
    Jia Tao, Liu Jun, Qian Fu-Cai. Adaptive fuzzy dynamic surface control for a class of nonlinear systems with unknown time-delays. Acta Automatica Sinica, 2011, 37(1):83-91(in Chinese)
    [25]
    Wen C Y, Zhou J, Liu Z T, Su H Y. Robust adaptive of uncertain nonlinear systems in the presence of input saturation and external disturbance. IEEE Transactions on Automatic Control, 2011, 56(7):1672-1678
    [26]
    Li Y M, Tong S C, Li T S. Direct adaptive fuzzy backstepping control of uncertain nonlinear systems in the presence of input saturation. Neural Computing and Applications, 2013, 23(5):1207-1216
    [27]
    Zhou Yan-Long, Chen Mou. Robust control of nonlinear systems with input constraint based on disturbance observer. Journal of Nanjing University of Science and Technology, 2014, 38(1):40-47(in Chinese)
    [28]
    Chen M, Ge S S, Ren B B. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints. Automatica, 2011, 47(3):452-465
    [29]
    Chen M, Ge S S, How B V E. Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. IEEE Transactions on Neural Networks, 2010, 21(5):796-812
    [30]
    Chen M, Ge S S, Choo Y S. Neural network tracking control of ocean surface vessels with input saturation. In:Proceedings of the 2009 IEEE International Conference on Automation and Logistics. Shenyang, China:IEEE, 2009. 85-89
    [31]
    Kurtz M J, Henson M A. Input-output linearizing control of constrained nonlinear processes. Journal of Process Control, 1997, 7(1):3-17
    [32]
    Kong Xiao-Bin, Liu Xiang-Jie. Continuous-time nonlinear model predictive control with input/output linearization. Control Theory and Applications, 2012, 29(2):217-224(in Chinese)
    [33]
    Liu D R, Wang D, Yang X. An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs. Information Sciences, 2013, 220:331-342
    [34]
    Wang D, Liu D R, Zhao D B, Huang Y Z, Zhang D H. A neuralnetwork-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. Neural Computing and Applications, 2013, 22(2):219-227
    [35]
    Chen M, Jiang B. Robust attitude control of near space vehicles with time-varying disturbances. International Journal of Control, Automation, and Systems, 2013, 11(1):182-187
    [36]
    Polycarpou M M. Stable adaptive neural control scheme for nonlinear systems. IEEE Transactions on Automatic Control, 1996, 41(3):447-451
    [37]
    Tee K P, Ge S S. Control of fully actuated ocean surface vessels using a class of feedforward approximators. IEEE Transactions on Control Systems Technology, 2006, 14(4):750-756
    [38]
    Pang J, Mei R, Chen M. Modeling and control for near space vehicles with oblique wing. In:Proceedings of the 10th World Congress on Intelligent Control and Automation. Beijing, China:IEEE, 2012. 1773-1778

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