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Bandwidth Based Stability Analysis of Active Disturbance Rejection Control for Nonlinear Uncertain Systems

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Abstract

This paper focuses on the stability analysis of the active disturbance rejection control (ADRC) for a class of uncertain systems. To overcome the difficulty of defining a reasonable Lyapunov function and setting limitations of system parameters, the converse Lyapunov theorem and the disturbance theory are employed. This paper proves that the estimation error of the extended state observer (ESO) and the tracking error of the closed-loop system using ADRC are uniformly ultimately bounded and monotonously diminishing with the increase of their respective bandwidth, so that the stability of the ADRC system could be performed. In order to further illustrate the relationship between the stability range and bandwidths, it analyzes quantitatively the performance of ESO and ADRC based on the root locus and the step response. Finally, an example based on a typical control system is carried out, and simulation results verify the theoretical analysis proved in this paper.

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References

  1. Krstic M, Kanellakopoulos L, and Kokotovic P, Nonlinear and Adaptive Control Design, Wiley, Boston, 1995.

    MATH  Google Scholar 

  2. Lin F, Brand R D, and Sun J, Robust control of nonlinear systems: Compensating for uncertainty, Int. J. Control, 1992, 56(6): 1453–1459.

    Article  MathSciNet  MATH  Google Scholar 

  3. Hussain S, Xie S Q, and Janwal P K, Robust nonlinear control of an intrinsically complicant robotic gait training orthosis, IEEE Trans. Systems, Man, and Cybernetics: Systems, 2013, 43(3): 655–665.

    Google Scholar 

  4. Johnson C, Accommodation of external disturbances in linear regulation and servomechanism problems, IEEE Trans. Automatic Control, 1971, 16(6): 635–644.

    Article  Google Scholar 

  5. Hostetter G and Meditch J, On the generalization of observers to systems with unmeasurable, unknown inputs, Automatica, 1973, 9: 721–724.

    Article  MATH  Google Scholar 

  6. Guo L and Chen W, Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach, International Journal of Robust & Nonlinear Control, 2005, 15(3): 109–125.

    Article  MathSciNet  MATH  Google Scholar 

  7. Canuto E, Acuna-Bravo W, Molano A, et al., Embedded Model Control calls for disturbance modeling and rejection, ISA Transactions, 2012, 51(5): 584–595.

    Article  Google Scholar 

  8. Tong S C, Liu C, and Li Y, Fuzzy adaptive decentralized control for large-scale nonlinear systems with dynamical uncertainties, IEEE Trans. Fuzzy Systems, 2010, 18(5): 845–861.

    Article  Google Scholar 

  9. Wang D, Liu D, Li H, et al., An approximate optimal control approach for robust stabilization of a class of discrete-time nonlinear systems with uncertainties, IEEE Trans. Systems, Man, and Cybernetics: Systems, 2016, 46(5): 713–717.

    Google Scholar 

  10. Tong S C, Liu C, and Li Y, Fuzzy adaptive decentralized control for large-scale nonlinear systems with dynamical uncertainties, IEEE Trans. Systems, Man, and Cybernetics: Systems, 2010, 18(5): 845–861.

    Google Scholar 

  11. Wang D, Liu D, Zhang Q, et al., Data-based adaptive critic designs for nonlinear robust optimal control with uncertain dynamics, IEEE Trans. Systems, Man, and Cybernetics: Systems, 2016, 46(11): 1544–1555.

    Google Scholar 

  12. Han J Q, Active disturbance rejection controller and its applications, Control and Decision, 1998, 13(1): 19–23.

    MathSciNet  Google Scholar 

  13. Gao Z Q, Hu S, and Jiang F, A novel motion control design approach based on active disturbance rejection, Proc. of the 40th IEEE Conference on Decision and Control, 2001, 5: 4877–4882.

    Google Scholar 

  14. Sira-Ramirez H, Castro-Linares R, and Puriel-Gil G, An active disturbance rejection approach to leader-follower controlled formation, Asian Journal of Control, 2014, 16(2): 382–395.

    Article  MathSciNet  MATH  Google Scholar 

  15. Zhao S and Gao Z Q, An active disturbance rejection based approach to vibration suppression in two-inertia systems, Asian Journal of Control, 2013, 15(2): 350–362.

    Article  MathSciNet  MATH  Google Scholar 

  16. Ramírez-Neria M, Sira-Ramírez H, Garrido-Moctezuma R, et al., Linear active disturbance rejection control of under-actuated systems: The case of the Furuta pendulum, ISA Transactions, 2014, 53(4): 920–928.

    Article  Google Scholar 

  17. Madoński R, Kordasz M, and Sauer P, Application of a disturbance- rejection controller for robotic-enhanced limb rehabilitation trainings, ISA Transactions, 2014, 53(4): 899–908.

    Article  Google Scholar 

  18. Sun M W, Chen Z Q, and Yuan Z Z, A practical solution to some problems in flight control, Proceedings of the 48th IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, Shanghai, China, 2009.

    Google Scholar 

  19. Malladi S and Yadaiah N, Design and analysis of linear active disturbance rejection controller for AVR system, 2015 International Conference on Industrial Instrumentation and Control (ICIC), College of Engineering Pune, India, 2015.

    Google Scholar 

  20. Guo J, Xue W, and Hu T, Active disturbance rejection control for PMLM servo system in CNC machining, Journal of Systems Science and Complexity, 2016, 29(1): 74–98.

    Article  MathSciNet  MATH  Google Scholar 

  21. Han J Q, From PID to active disturbance rejection control, IEEE Trans. Industrial Electronics, 2009, 56(3): 900–906.

    Article  Google Scholar 

  22. Huang Y and Xue W C, Active disturbance rejection control: Methodology and theoretical analysis, ISA Transaction, 2014, 53(4): 963–976.

    Article  MathSciNet  Google Scholar 

  23. Zheng Q and Gao Z Q, Motion control opmitimization: Problem and solutions, Interntional Journal of Intelligent control and systems, 2006, 10(4): 269–276.

    Google Scholar 

  24. Zheng Q, Gao L, and Gao Z Q, On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics, Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, LA, USA, 2007.

    Google Scholar 

  25. Yang X X and Huang Y, Capability of extended state observer for estimating uncertainties, Proceedings of American Control Conference, Hyatt Regency Riverfront, St. Louis, MO, USA, 2009.

    Google Scholar 

  26. Fadali M S, On the Stability of Han’s ADRC, Proceedings of American Control Conference, Portland, Oregon, USA, 2014.

    Google Scholar 

  27. Wu D and Chen K, Frequency-domain analysis of nonlinear active disturbance rejection control via the describing function method, IEEE Tran. Industrial Electronics, 2013, 60(9): 3096–3014.

    MathSciNet  Google Scholar 

  28. Guo B Z and Zhao Z L, On the convergence of extended state observer for nonlinear systems with uncertainty, Systems & Control Letters, 2011, 60(6): 420–430.

    Article  MathSciNet  MATH  Google Scholar 

  29. Yang X X and Huang Y, Capability of the extended state observer for minimum phase plants with unknown orders and uncertain relative degrees, Proceedings of 31st Chinese Control Conference, Hefei, China, 2009.

    Google Scholar 

  30. Yuan C and Lygeros J, On the exponential stability of switching diffusion processes, IEEE Trans. Autom. Control, 2005, 50(9): 1422–1426.

    Article  MathSciNet  MATH  Google Scholar 

  31. Huang L and Deng F, Razumikhin-type theorems on stability of stochastic retarded systems, Int. J. Syst. Sci., 2009, 40(1): 73–80.

    Article  MathSciNet  MATH  Google Scholar 

  32. Liu L, Shen Y, and Jiang F, The almost sure asymptotic stability and pth moment asymptotic stability of nonlinear stochastic differential systems with polynomial growth, IEEE Trans. Autom. Control, 2011, 56(8): 1985–1990.

    Article  MATH  Google Scholar 

  33. Shen Y and Wang J, Robustness of global exponential stability of nonlinear systems with random disturbances and time delays, IEEE Trans. Systems, Man, and Cybernetics: Systems, 2016, 46(9): 1157–1166.

    Google Scholar 

  34. Xue W C, Huang Y, and Gao Z Q, On ADRC for non-minimum phase systems: Canonical form selection and stability conditions, Control Theory and Technology, 2016, 14(3): 199–208.

    Article  MathSciNet  MATH  Google Scholar 

  35. Shao S and Gao Z Q, On the conditions of exponential stability in active disturbance rejection control based on singular perturbation analysis, International Journal of Control, 2016: 1–21.

    Google Scholar 

  36. Xue WC and Huang Y, On frequency-domain analysis of ADRC for uncertain system, Proceedings of American Control Conference, Washington, DC, USA, 2013.

    Google Scholar 

  37. Tian G and Gao Z Q, Frequency response analysis of active disturbance rejection based control system, 16th IEEE International Conference on Control Applications Part of IEEE Multiconference on Systems and Control, Singapore, 2007.

    Google Scholar 

  38. Yuan D, Ma X, Zeng Q, et al., Research on frequency-band characteristics and parameters configuration of linear active disturbance rejection control for second-order systems, Control Thoery and Appllication, 2013, 30(12): 1630–1640.

    Google Scholar 

  39. Sun L, Li D H, Gao Z Q, et al., Combined feedforward and model-assisted active disturbance rejection control for non-minimum phase system, ISA transactions, 2016, 64: 24–33.

    Article  Google Scholar 

  40. Han J Q, A class of extended state observers for uncertain systems, Control and Decision, 1995, 10(1): 85–88.

    Google Scholar 

  41. Gao Z Q, Scaling and bandwidth-parameterization based controller tuning, Proceedings of the 2003 America Control Conference, Denver, Colorado, 2003.

    Google Scholar 

  42. Tan K K, Huang S N, and Lee T H, Robust adaptive numerical compensation for friction and force ripple in permanent magnet linear motors, IEEE Transactions on Magnetics, 2002, 38(1): 221–228.

    Article  Google Scholar 

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Correspondence to Xiaolan Yao.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant No. 61304026.

This paper was recommended for publication by Editor LIU Yungang.

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Zhang, D., Wu, Q. & Yao, X. Bandwidth Based Stability Analysis of Active Disturbance Rejection Control for Nonlinear Uncertain Systems. J Syst Sci Complex 31, 1449–1468 (2018). https://doi.org/10.1007/s11424-018-7073-4

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  • DOI: https://doi.org/10.1007/s11424-018-7073-4

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