A robust performance tuning control (RPTC) is proposed for servo systems with unmodeled nonlinear dynamics and high-frequency noise. Firstly, by introducing a proportional type tuning mechanism, the tracking performance can be adaptively adjusted under the preset constraints, avoiding invalid input signals in barrier function-based discrete-time prescribed performance controls (DPPCs). Then, filtered outputs are used to mitigate noise impacts on the overall control performance, and theoretical analysis ensures stability of the closed-loop system and tracking accuracy. Finally, some simulation results validate the effectiveness of the proposed RPTC.

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Robust Performance Tuning Control for Servo Systems with Measurement Noise

  • Yun Cheng,
  • Shuangyi Hu,
  • Qiang Chen,
  • Jing Na,
  • Shubo Wang

摘要

A robust performance tuning control (RPTC) is proposed for servo systems with unmodeled nonlinear dynamics and high-frequency noise. Firstly, by introducing a proportional type tuning mechanism, the tracking performance can be adaptively adjusted under the preset constraints, avoiding invalid input signals in barrier function-based discrete-time prescribed performance controls (DPPCs). Then, filtered outputs are used to mitigate noise impacts on the overall control performance, and theoretical analysis ensures stability of the closed-loop system and tracking accuracy. Finally, some simulation results validate the effectiveness of the proposed RPTC.