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고차 스위칭 미분 추정기의 설계 상수 최적화

Optimizing Design Constants of Higher-Order Switching Differentiator

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초록

시변 신호의 1차 시간 미분을 추정하기 위해서 [1]에서 점근적 수렴 특성을 갖는 스위칭 미분기(switching differentiator)[1]가 제안되었으며, 그것의 고차 미분 추정으로 확장한 고차 스위칭 미분기(higher-order switching differntiaor, HOSD)가 [2]에서 제안되었다. 하지만 HOSD의 경우 n차 미분까지 추정한다면 결정해야 할 상수들의 개수가 2n개이므로 HOSD를 설계하는 데 있어서 다수의 설계상수를 결정해야 한다는 어려움이 있다. 본 논문에서는 HOSD의 점근적 추종 성능은 유지하면서결정해야 할 설계 상수들의 개수를 줄이는 방법과 다양한 모의실험으로 구해진 최적의 설계 상수 값들을 제시한다. 시변 함수들의 시간 도함수를 추정하는 모의실험을 통해서 제시된 방법의 유효성을 보인다.

Abstract

A switching differentiator that can estimate the 1st-order time-derivative of a time-varying signal was proposed, andit is extended later to the higher-order switching differentiator(HOSD) that can observe higher-order time-derivatives ofa time-varying signal in previous works. By using HOSD, higher-order time-derivatives can be estimated withoutpeaking or chattering, and it has an asymptotic tracking performance. However, there exist many design constants to bedetermined in HOSD. In this paper, a method of reducing the number of design constants is proposed to solve theproblem. Simulations reveal the effectiveness of the proposed method.

참고문헌 (11)

  1. J. -H. Park, "Asymptotically convergent switching differentiator", Int J Adapt Control Signal Process, 33, pp.557~566 (2019)[DOI]
  2. Jang-Hyun Park, "Asymptotically Convergent Higher-Order Switching Differentiator", Mathematics, 8(2), pp.185~ (2020), MDPI AG[DOI]
  3. J. Han, "From PID to Active Disturbance Control", IEEE Trans. Ind. Electron, 56, pp.900~906 (2009)[DOI]
  4. P. R. Belanger, "Estimation of Angular Velocity and Acceleration from Shaft-Encoder Measurements", Int. J. Robot. Res, 17, pp.1225~1233 (1998)[DOI]
  5. H. K. Khalil, "High-Gain Observers in Feedback Control: Application to Permanent Magnet Synchronous Motors", IEEE Control Syst. Mag, 37, pp.25~41 (2017)[DOI]
  6. A. Levant, "Non-homogeneous finite-timeconvergent differentiator", Proceedings of the 48th IEEE Conference on Decision and Control, pp.8399~8404 (2009)
  7. J. F. Carneiro, "On the Influence of Velocity and Acceleration Estimators on a Servopneumatic System Behaviour", IEEE Access, 4, pp.6541~6553 (2016)[DOI]
  8. J. -H. Park, "Output-Feedback Adaptive Neural Controller for Uncertain Pure-Feedback Nonlinear Systems Using a High-Order Sliding Mode Observer", IEEE Trans. Neural Network and Learning System, 30(5), pp.1596~1601 (2019)[DOI]
  9. J. -H. Park, "Approximation-Free State-Feedback Backstepping Controller for Uncertain Pure-Feedback Nonautonomous Nonlinear Systems Based on Time-Derivative Estimator", IEEE Access, 7, pp.126634~126641 (2019)[DOI]
  10. Jang-Hyun Park, "Approximation-Free Output-Feedback Non-Backstepping Controller for Uncertain SISO Nonautonomous Nonlinear Pure-Feedback Systems", Mathematics, 7(5), pp.456~ (2019), MDPI AG[DOI]
  11. J.-H. Park, "Approximation-Free Output-Feedback Control of Uncertain Nonlinear Systems Using HigherOrder Sliding Mode Observer", J. Dynamics Systems, Measurement, and Control, 140(12), pp.124502~ (2018)[DOI]

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