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Approximation-free finite-time control for uncertain active suspensions with unknown time-varying input delays.

Wenbo Wang1, Shuang Liu1, Dingxuan Zhao2

  • 1Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinghuangdao, China.

ISA Transactions
|August 29, 2025
PubMed
Summary

This study introduces an approximation-free control method for active suspension systems (ASSs) to enhance performance under uncertainties and delays. The novel approach ensures finite-time convergence without needing neural networks or fuzzy logic.

Keywords:
Active suspension systemsApproximation-free controlFinite-time prescribed performanceUnknown time-varying input delays

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Area of Science:

  • Control Systems Engineering
  • Automotive Engineering
  • Nonlinear Dynamics

Background:

  • Active suspension systems (ASSs) face challenges from uncertain nonlinearities and unknown time-varying input delays (UTIDs).
  • Existing control methods may require complex models or approximations, limiting practical application.
  • Enhancing transient performance and robustness in ASSs remains a key research area.

Purpose of the Study:

  • To develop a novel approximation-free finite-time control method for ASSs.
  • To address uncertain nonlinearities and unknown time-varying input delays (UTIDs) in ASSs.
  • To improve the transient performance and overall effectiveness of active suspension systems.

Main Methods:

  • Design of a finite-time prescribed performance function (FPPF) for bounded suspension motion convergence.
  • Development of a novel compensator to mitigate the effects of unknown input delays.
  • Implementation of an approximation-free control strategy utilizing the FPPF and compensator, avoiding neural networks and fuzzy logic.

Main Results:

  • The proposed method achieves finite-time prescribed performance convergence of suspension motion despite uncertainties and UTIDs.
  • Simulation results demonstrate the effectiveness of the approximation-free control strategy.
  • Significant improvements in active suspension system performance were observed.

Conclusions:

  • The developed approximation-free finite-time control method offers a robust solution for uncertain active suspension systems with input delays.
  • The approach successfully enhances suspension performance without relying on complex approximation techniques.
  • Validated through dynamic simulation, the method presents a promising advancement in automotive control systems.