Abstract
This paper focuses on the issue of estimating the time varying disturbances. A phase optimized law and a phase optimized extend state observer are proposed. For typical disturbances, the proposed observer is verified by theoretical analyses and numerical simulations. Results show the phase optimized active disturbance rejection control is superior to the linear active disturbance rejection control.
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References
Kayacan E, Peschel JM, Chowdhary G (2017) A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme. Eng Appl Artif Intell 62:276–285
Bhattacharyya SP (2017) Robust control under parametric uncertainty: an overview and recent results. Annu Rev Control 44:45–77
Xu JX, Guo ZQ, Lee TH (2013) Design and implementation of integral sliding-mode control on an underactuated two-wheeled mobile robot. IEEE Trans Industr Electron 61(7):3671–3681
Yao J, Deng W, Jiao Z (2015) Adaptive control of hydraulic actuators with LuGre model-based friction compensation. IEEE Trans Industr Electron 62(10):6469–6477
Basile G, Marro G (1969) On the observability of linear, time-invariant systems with unknown inputs. J Optim Theory Appl 3(6):410–415
Zhong QC, Kuperman A, Stobart RK (2011) Design of UDE-based controllers from their two-degree-of-freedom nature. Int J Robust Nonlinear Control 21(17):1994–2008
Schrijver E, Van DJ (2002) Disturbance observers for rigid mechanical systems: equivalence, stability, and design. J Dyn Syst Meas Contr 124(4):539–548
Wei W, Xia PF, Zuo M (2018) Linear active disturbance rejection control of piezoelectric nanopositioning stage. Control Theory Appl 35(11):34–47 (in Chinese)
Zhou R, Tan W (2019) Analysis and tuning of general linear active disturbance rejection controllers. IEEE Trans Industr Electron 66(7):5497–5507
Tao J, Liang W, Sun QL (2017) Modeling and control of a powered parafoil in wind and rain environments. IEEE Trans Aerosp Electron Syst 53(4):1642–1659
Yang X, Huang Y (2009) Capabilities of extended state observer for estimating uncertainties. In: Proceedings of the 2009 American control conference. IEEE Press, Louis, pp 3700-3705
Yang R, Sun M, Chen ZQ (2011) Active disturbance rejection control on first-order plant. J Syst Eng Electron 22(1):95–102
Chen ZQ, Sun MW, Yang RG (2013) On the stability of linear active disturbance rejection control. Acta Automatica Sinica 39(5):574–580 (in Chinese)
Gao ZQ (2003) Scaling and bandwidth-parameterization based controller tuning. In: Proceedings of the 2003 American control conference. IEEE Press, Denver, pp 4989-4996
Madonski R, Herman P (2015) Survey on methods of increasing the efficiency of extended state disturbance observers. ISA Trans 56:18–27
Acknowledgment
This work is supported by Key program of Beijing Municipal Education Commission (KZ201810011012), National Natural Science Foundation of China (61873005), and Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan (CIT&TCD201704044).
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Xia, P., Wei, W. (2020). Active Disturbance Rejection Control Based on a Phase Optimized Extended State Observer. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 594. Springer, Singapore. https://doi.org/10.1007/978-981-32-9698-5_7
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DOI: https://doi.org/10.1007/978-981-32-9698-5_7
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