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融合光纤感知的气动执行器夹持力控制策略研究

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为了降低气动执行器夹持力/气压迟滞的影响,提高夹持力跟踪控制精度,提出一种基于Prandtl-Ishlinskii(P-I)逆模型的前馈补偿结合模糊PID的控制策略。分析气动执行器的夹持力/气压迟滞特性,通过初载曲线法辨识迟滞模型参数,建立P-I逆模型;设计融合FBG力感知的模糊PID控制算法,基于自制的FBG传感器实现夹持力反馈,通过标定实验验证传感器的静态特性。在Simulink中构建前馈补偿和融合FBG力感知的模糊PID相结合的复合控制器,完成与传统PID以及模糊PID控制器的夹持力控制仿真对比。仿真结果显示:前馈补偿可以降低稳态误差,提高控制精度。最后,在气动执行器夹持力控实验平台上开展动态跟踪实验,验证了所设计复合控制器的有效性。
Clamping Force Control Strategy of a Pneumatic Actuator Based on Fiber Sensing
A control algorithm combining feedforward hysteresis compensation based on Prandtl-Ishlinskii(P-I)inverse model and fuzzy PID was proposed to reduce the influence of clamping force/pressure hysteresis on a pneumatic actuator and improve the clamping force tracking control accuracy.The clamping force/pressure hysteresis characteristics of the pneumatic actuator were analyzed.The hysteresis model parameters were identified by the initial load curve method to establish P-I inverse model.A fuzzy PID control al-gorithm based on FBG force sensing was designed.The clamping force feedback was realized based on the self-made FBG sensor.The static characteristics of the sensors were verified by calibration experiment.Furthermore,a compound controller combined with feedfor-ward compensation and fuzzy PID fused with FBG force sensing was constructed to complete the simulation comparison with the tradi-tional PID and fuzzy PID controller of clamping force control in Simulink.Simulation results show that feedforward hysteresis compensa-tion can reduce steady-state error and improve control accuracy.Finally,the dynamic tracking experiment was carried out on the pneu-matic actuator clamping force control experimental platform.The effectiveness of the designed composite controller was verified.

pneumatic actuatorhysteresis compensationfuzzy PID controlFBG force sensing

李天梁、王量、裴青峰

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武汉理工大学机电工程学院,湖北武汉 430070

气动执行器 迟滞补偿 模糊PID控制 FBG力感知

湖北省重点研发计划国家自然科学基金青年科学基金

2022BAA06651905398

2024

机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
年,卷(期):2024.52(4)
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