传感技术学报2026，Vol.39Issue(4)：772-778,7.DOI:10.3969/j.issn.1004-1699.2026.04.010
基于BP神经网络改进Duhem逆模型的压电陶瓷动态迟滞鲁棒反演滑模控制
Dynamic Hysteresis Robust Inverse Sliding Mode Control of Piezoelectric Ceramics Based on BP neural network improved Duhem Inverse Modeling
摘要
Abstract
In order to suppress the effect of dynamic hysteresis in piezoelectric ceramics,a robust inverse sliding mode control strategy based on the feedforward compensation of the BP neural network improved Duhem inverse model recognized by the northern goshawk optimization algorithm is proposed.First,the northern goshawk optimization algorithm is utilized to identify the Duhem model with α,f(·)and g(·).Then,the inverse model of Duhem is derived.Since the nonlinearity of piezoelectric ceramics increases with increas-ing frequency,the output of the Duhem inverse model and the data of actual control voltage and actual displacement are input into the BP neural network for training,so as to obtain a more accurate inverse model.Finally,to compensate the dynamic hysteresis of piezoe-lectric ceramics,a composite control method of robust inverse sliding mode control law combined with inverse model compensation is proposed.The experimental results demonstrate that the accuracy of the proposed method is improved by 3.05％,43.33％,and 29.10％,respectively,compared with a single robust inverse sliding-mode control under tracking signals of different frequencies(10 Hz,40 Hz,and 100 Hz),which verifies the effectiveness of the proposed method.关键词
压电陶瓷/动态迟滞/Duhem模型/北方苍鹰算法/鲁棒反演滑模控制Key words
piezoelectric ceramics/dynamic hysteresis/Duhem model/northern goshawk optimization/robust inverse sliding mode control分类
信息技术与安全科学引用本文复制引用
任玠荣,钱璐帅,许素安,魏艳红,黄艳岩,富雅琼,陈腾飞,许亚萍..基于BP神经网络改进Duhem逆模型的压电陶瓷动态迟滞鲁棒反演滑模控制[J].传感技术学报,2026,39(4):772-778,7.基金项目
国家自然科学基金项目(62373339),浙江省自然科学基金项目(LZ24F030007) （62373339）
