Home /Research /Research on Active Disturbance Rejection Control of Rigid–Flexible Coupled Constant Force Actuator
OTHER

Research on Active Disturbance Rejection Control of Rigid–Flexible Coupled Constant Force Actuator

Chuanxing Jiang, Zhijun Yang, Jun Zheng, Bing Fu, Youdun Bai

Year
2025
Citations
2
Access
Open access

Abstract

This study introduces a rigid–flexible coupled constant force actuator integrated with Active Disturbance Rejection Control (ADRC) to tackle the rigidity–compliance trade-off in precision force-sensitive applications. The actuator utilizes compliant hinges to decrease contact stiffness by three orders of magnitude (106→103 N/m), facilitating effective force management through millimeter-scale placement (0.1∼1 mm) and inherently mitigating high-frequency disturbances. The ADRC framework, augmented by an Extended State Observer (ESO), dynamically assesses and compensates for internal nonlinearities (such as friction hysteresis) and external disturbances without necessitating accurate system models. Experimental results indicate enhanced performance compared to PID control: under dynamic disturbances, force deviations are limited to ±0.2 N with a 98.5% reduction in mean absolute error, a 96.3% increase in settling speed, and 99% suppression of oscillations. The co-design of mechanical compliance with model-free control addresses the constraints of traditional high-stiffness systems, providing a scalable solution for industrial robots, compliant material processing, and medical device operations. Validation of the prototype under sinusoidal perturbations demonstrates reliable force regulation (settling time <0.56 s, errors <0.5 N), underscoring its relevance in dynamic situations. This study integrates theoretical innovation with experimental precision, enhancing intelligent manufacturing systems via adaptive control and structural synergy.

Keywords

ActuatorDisturbance (geology)Control theory (sociology)Active disturbance rejection controlConstant (computer programming)Control (management)PhysicsComputer scienceNonlinear systemBiology

Related papers

Browse all OTHER papers