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Retarded, neutral and advanced differential equation models for balancing using an accelerometer

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Abstract

Stabilization of a pinned pendulum about its upright position via a reaction wheel is considered, where the pendulum’s angular position is measured by a single accelerometer attached directly to the pendulum. The control policy is modeled as a simple PD controller and different feedback mechanisms are investigated. It is shown that depending on the modeling concepts, the governing equations can be a retarded functional differential equation or neutral functional differential equation or even advanced functional differential equation. These types of equations have radically different stability properties. In the retarded and the neutral case the system can be stabilized, but the advanced equations are always unstable with infinitely many unstable characteristic roots. It is shown that slight modeling differences lead to significant qualitative change in the behavior of the system, which is demonstrated by means of the stability diagrams for the different models. It is concluded that digital effects, such as sampling, stabilizes the system independently on the modeling details.

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References

  1. Hu HY, Wang ZH (2002) Dynamics of controlled mechanical systems with delayed feedback. Springer, Heidelberg

    Book  MATH  Google Scholar 

  2. Kolmanovskii VB, Myshkis AD (1999) Introduction to the theory and applications of functional differential equations. Kluwer, Dordrecht

    Book  MATH  Google Scholar 

  3. Hale JK, Lunel SMV (1993) Introduction to functional differential equations. Springer, New York

    Book  MATH  Google Scholar 

  4. Niculescu S-I (2001) Delay effects on stability—a robust control approach. Springer, London

    MATH  Google Scholar 

  5. Xu Q, Stepan G, Wang Z (2017) Balancing a wheeled inverted pendulum with a single accelerometer in the presence of time delay. J Vib Control 23(4):604–614

    Article  MathSciNet  Google Scholar 

  6. Qin ZC, Li X, Zhong S, Sun JQ (2014) Control experiments on time-delayed dynamical systems. J Vib Control 20(6):827–837

    Article  Google Scholar 

  7. Zhang XY, Sun JQ (2014) A note on the stability of linear dynamical systems with time delay. J Vib Control 20(10):1520–1527

    Article  MathSciNet  Google Scholar 

  8. Hajdu D, Insperger T (2016) Demonstration of the sensitivity of the Smith predictor to parameter uncertainties using stability diagrams. Int J Dyn Control 4(4):384–392

    Article  MathSciNet  Google Scholar 

  9. Insperger T, Wohlfart R, Turi J, Stepan G (2012) Equations with advanced arguments in stick balancing models. In: Time delay systems: methods, applications and new trends. Lecture notes in control and information sciences (LNCIS), vol 423. Springer, Berlin, pp 161–172

  10. Gajamohan M, Muehlebach M, Widmer T, D’Andrea R (2013) The Cubli: a reaction wheel based 3D inverted pendulum. In: European control conference (ECC), 17–19, July 2013, Zürich, Switzerland, pp 268–274

  11. Benevicius V, Ostasevicius V, Gaidys R (2013) Identification of capacitive MEMS accelerometer structure parameters for human body dynamics measurements. Sensors 13(9):11184–11195

    Article  Google Scholar 

  12. Insperger T, Stepan G (2011) Semi-discretization for time-delay systems: stability and engineering applications. Springer, New York

    Book  MATH  Google Scholar 

  13. Stepan G (2009) Delay effects in the human sensory system during balancing. Philos Trans R Soc A Math Phys Eng Sci 367:1195–1212

    Article  MathSciNet  MATH  Google Scholar 

  14. Habib G, Miklos A, Enikov ET, Stepan G, Rega G (2015) Nonlinear model-based parameter estimation and stability analysis of an aeropendulum subject to digital delayed control. Int J Dyn Control. doi:10.1007/s40435-015-0203-0

    Google Scholar 

  15. Habib G, Rega G, Stepan G (2016) Delayed digital position control of a single-DoF system and the nonlinear behavior of the act-and-wait controller. J Vib Control 22(2):481–495

    Article  MathSciNet  Google Scholar 

  16. Qin WB, Gomez MM, Orosz G (2017) Stability and frequency response under stochastic communication delays with applications to connected cruise control design. IEEE Trans Intell Transp Syst 18(2):388–403

    Article  Google Scholar 

  17. Stepan G (1989) Retarded dynamical systems. Longman, London

    MATH  Google Scholar 

  18. Xu Q, Wang ZH (2014) Exact stability test of neutral delay differential equations via a rough estimation of the testing integral. Int J Dyn Control 2(2):154–163

  19. Xu Q, Stepan G, Wang ZH (2016) Delay-dependent stability analysis by using delay-independent integral evaluation. Automatica 70:153–157

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Correspondence to Tamas Insperger.

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Kovacs, B.A., Insperger, T. Retarded, neutral and advanced differential equation models for balancing using an accelerometer. Int. J. Dynam. Control 6, 694–706 (2018). https://doi.org/10.1007/s40435-017-0331-9

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  • DOI: https://doi.org/10.1007/s40435-017-0331-9

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