Length self-sensing method of high polymer twisted and rolled artificial muscle based on coil structure

By equating artificial muscles to equidistant circular current loops, and combining electromagnetic laws with iterative solutions, an inductance-length model was established. Through parameter correction, the problems of poor model reliability and adaptability in existing technologies were solved, and high-precision length sensing was achieved.

CN121093548APending Publication Date: 2025-12-09SOUTH CHINA UNIV OF TECH +1
0 Cites 2 Cited by

Patent Information

Application Number
CN202510980403.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2025-12-09

AI Technical Summary

Technical Problem

Existing technologies cannot effectively isolate the single relationship of artificial muscle length, resulting in poor model reliability and adaptability. Furthermore, dynamic parameter coupling leads to measurement errors, making it difficult to achieve high-precision length sensing.

Method used

The artificial muscle is equivalent to N equidistant circular current loops. The magnetic field is calculated and superimposed using the Biot-Savart law. The inductance formula is established by combining Faraday's law of electromagnetic induction. The solution is iteratively obtained using the MATLAB solver. The inductance is measured and the parameters are corrected by combining a digital bridge instrument. An inductance-length model is then established.

Benefits of technology

It achieves high-precision and fast length self-sensing, is suitable for dynamic characteristics, reduces dependence on experimental data, and improves the model's adaptability and sensing accuracy.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a coil structure-based length self-sensing method for high polymer twisted artificial muscle, which comprises the following steps of: firstly, enabling the artificial muscle to be equivalent to N equidistant circular current loops, establishing an inductance calculation formula by combining a Biot-Savart law and a magnetic field superposition principle, and breaking through the limitation of a traditional solenoid model on a helical angle; then through MATLAB numerical simulation and iterative computation, fitting to obtain a power function describing the relation between inductance and length; and finally, proposing a parameter dynamic correction mode based on single-time initial inductance measurement according to complex factors such as actual magnetic flux leakage and skin effect, and realizing rapid adaptive calibration by adjusting a parameter b. In a word, the method creatively combines theoretical modeling with experimental correction, the sensing precision in a dynamic stretching scene is remarkably improved while the inductance-length macroscopic trend prediction capability is ensured, dependence on a large amount of experimental data is not needed, and the method has good engineering applicability and is worthy of popularization.
Need to check novelty before this filing date? Find Prior Art