Study of Dynamic Performance and Control Strategy of Variable Stiffness Actuator System Based on Two-Inertial-System

The study of position control for variable stiffness actuators is important for improving their energy efficiency and robustness. In this paper, for the previously proposed nonlinear variable stiffness actuator, firstly, a dynamic model of the variable stiffness actuator system is established based on a two-inertia-system theory. Secondly, the effects of friction and gravity factors on the dynamic performance of the system are analyzed. The results of the study show that friction and gravity have obvious effects on the dynamic characteristics of the system in the constant stiffness state, and that these effects are more complex and obvious in the variable stiffness state, which proves the reasonableness and necessity of considering friction and gravity in the dynamics modeling process. Then, in order to improve the dynamic performance of the system and make its positioning performance meet the requirements, the control strategy of the variable stiffness actuator system is studied. The results show that the sliding mode control strategy based on nonlinear disturbance observer and dynamics model is a good solution to the effect of friction and gravity on the system, and can make its position-tracking performance meet the requirements. Finally, the correctness and effectiveness of the control strategy are verified experimentally.

Automated summary

The study proposes a dynamic model for a previously proposed nonlinear variable stiffness actuator based on a two-inertia-system theory. It analyzes the effects of friction and gravity on the system's dynamic performance and concludes that considering these factors in the dynamics modeling process is reasonable and necessary. The study also presents a sliding mode control strategy based on a nonlinear disturbance observer and dynamics model, which effectively addresses the impact of friction and gravity on the system and ensures the position-tracking performance meets the requirements. Experimental verification demonstrates the correctness and effectiveness of the control strategy.