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Nonsingular Integral Terminal Sliding Mode Control for Resonant Frequency Tracking of Electromagnetic Acoustic
Haichao Yuan1,2, Qi Li3, Ran Peng2
1Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered System, Dalian Maritime University, Dalian 116026, China.
This study introduces a fixed-time nonsingular integral terminal sliding mode (FT-NITSM) control strategy for electromagnetic acoustic transducers (EMATs). It achieves precise and robust resonant frequency tracking, overcoming environmental drift challenges.
Area of Science:
- Control Systems Engineering
- Materials Science
- Acoustics
Background:
- Electromagnetic acoustic transducers (EMATs) face challenges in maintaining stable resonant frequency and conversion efficiency due to environmental variations.
- Drifting working frequencies in EMATs lead to reduced performance and reliability in various applications.
Purpose of the Study:
- To develop a robust and precise resonant frequency tracking control strategy for EMATs.
- To enhance the convergence speed and tracking accuracy of EMATs operating frequency to its natural resonant frequency.
- To improve the overall performance and stability of EMAT systems under changing environmental conditions.
Main Methods:
- Implementation of a fixed-time nonsingular integral terminal sliding mode (FT-NITSM) control strategy.
- Design of a specialized resonant frequency tracking controller for EMATs.
- Analysis of system stability using Lyapunov functions and validation through numerical simulations.
Main Results:
- The FT-NITSM control strategy demonstrated precise tracking of EMATs' operating frequency to its natural resonant frequency in under 3 seconds.
- Achieved a tracking error of less than 0.01 × 104 Hz, showcasing high accuracy.
- Ensured the control system's impedance angle remained consistent and bounded within -5 to 5° at steady state, with limited overshoot variation.
Conclusions:
- The proposed FT-NITSM control strategy offers a robust solution for precise resonant frequency tracking in EMATs.
- This method significantly improves convergence speed and tracking accuracy, enhancing EMAT performance.
- The study provides a valuable control framework for advancing EMAT technology and applications.
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