A Viscoelastic Compensator for Force Sensors With Soft Materials

作者：Zhikai Hu, Yijie Wang, Kaiming Feng, Zhongyi Chu, Jing Cui, Fuchun Sun · 发表于：IEEE Transactions on Instrumentation and Measurement · 年份：2023 · DOI：10.1109/tim.2023.3269114 · 被引用次数：5 · 研究领域：Advanced Sensor and Energy Harvesting Materials、Muscle activation and electromyography studies、Prosthetics and Rehabilitation Robotics

Model-based compensators have been widely applied in force sensors with soft materials to eliminate viscoelasticity that causes creep output, slow dynamic response, and limits the performance of the sensors. However, the lack of accurate characterization of high-order viscoelasticity and the high computational complexity restricts the performance and application of existing methods. For the above problem, we propose a first-order Volterra grey box model-based viscoelastic compensator for force sensors with soft materials. First, the measurement mechanism of the soft-material-based force sensor is analyzed, and a grey box model for accurately characterizing the high-order linear viscoelasticity by the first-order Volterra series is proposed, without needing high-order spring-damping parameters and their exponential operations. Then, the high-order viscoelasticity compensator is designed and directly linearly fitted with the variation of the historical output, which avoids the computational complexity of the high-order creep compliance and its exponential parameters fitting. Finally, the proposed method is verified with a self-developed soft-material-based capacitive force sensor. The real-time experimental results show that, compared with existing methods, the proposed compensator not only has better compensation performance, but also has a shorter calculation time for force sensors with soft materials.