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An improved force-based impedance control method for the HDU of legged robots
Kaixian Ba1, Bin Yu2, Zhengjie Gao1
1School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
ISA Transactions
|October 13, 2018
Summary
This study enhances impedance control for hydraulic drive units (HDUs) in legged robots. The improved system boosts control accuracy, addressing challenges posed by environmental changes and system nonlinearities.
Area of Science:
- Robotics
- Control Systems Engineering
- Mechanical Engineering
Background:
- Hydraulic drive units (HDUs) offer advantages like high power-to-weight ratios for legged robots.
- Legged robot control is complex due to environmental variations and inherent hydraulic system nonlinearities.
- Existing impedance control methods struggle with accuracy in dynamic, real-world scenarios.
Purpose of the Study:
- To improve the control accuracy of hydraulic drive units (HDUs) in legged robots.
- To address the limitations of traditional impedance control in dynamic and nonlinear hydraulic systems.
- To enhance the performance of legged robots navigating complex environments.
Main Methods:
- An improved second-order dynamic compliance control system is proposed for HDUs.
- The system incorporates a compliance-enhanced controller and a feedforward compensation controller for the inner force control loop.
- The dynamic compliance composition of inner and outer control loops is rearranged.
Main Results:
- The proposed control system significantly enhances impedance control accuracy.
- Experimental results demonstrate superior performance compared to traditional force-based impedance control.
- The method effectively mitigates issues related to nonlinearity and time-varying parameters in hydraulic systems.
Conclusions:
- The improved impedance control system offers a robust solution for legged robot control.
- This advancement is crucial for reliable robot navigation and interaction with dynamic environments.
- The findings pave the way for more sophisticated and accurate legged robot applications.
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