scholarly journals Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion

2022 ◽  
Vol 70 (3) ◽  
pp. 4691-4705
Author(s):  
Ibrahim M. Mehedi ◽  
Mohd Heidir Mohd Shah ◽  
Soon Xin Ng ◽  
Abdulah Jeza Aljohani ◽  
Mohammed El-Hajjar ◽  
...  
2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Emmanouil Spyrakos-Papastavridis ◽  
Jian S. Dai

Abstract This paper attempts to address the quandary of flexible-joint humanoid balancing performance augmentation, via the introduction of the Full-State Feedback Variable Impedance Control (FSFVIC), and Model-Free Compliant Floating-base VIC (MCFVIC) schemes. In comparison to rigid-joint humanoid robots, efficient balancing control of compliant bipeds, powered by Series Elastic Actuators (or harmonic drives), requires the design of more sophisticated controllers encapsulating both the motor and underactuated link dynamics. It has been demonstrated that Variable Impedance Control (VIC) can improve robotic interaction performance, albeit by introducing energy-injecting elements that may jeopardize closed-loop stability. To this end, the novel FSFVIC and MCFVIC schemes are proposed, which amalgamate both collocated and non-collocated feedback gains, with power-shaping signals that are capable of preserving the system's stability/passivity during VIC. The FSFVIC and MCFVIC stably modulate the system's collocated state gains to augment balancing performance, in addition to the non-collocated state gains that dictate the position control accuracy. Utilization of arbitrarily low-impedance gains is permitted by both the FSFVIC and MCFVIC schemes propounded herein. An array of experiments involving the COmpliant huMANoid reveals that significant balancing performance amelioration is achievable through online modulation of the full-state feedback gains (VIC), as compared to utilization of invariant impedance control.


2019 ◽  
Vol 121 ◽  
pp. 103272 ◽  
Author(s):  
Lei Sun ◽  
Wen Zhao ◽  
Wei Yin ◽  
Ning Sun ◽  
Jingtai Liu

Author(s):  
Guocai Yang ◽  
Yechao Liu ◽  
Junhong Ji ◽  
Minghe Jin ◽  
Songhao Piao

A novel control method is proposed to achieve high trajectory tracking precision, for flexible-joint manipulators. The method consists of three major parts: joint torque generator, joint torque tracker and motor position controller. The expected torque is generated by a PID controller based on the manipulator’s rigid dynamics model. In the torque tracker, motor position is corrected in both feedback and feedforward ways. Finally, the motor position controller is responsible to track the corrected motor trajectory to achieve the torque and position control. To suppress nonlinear friction, a disturbance observer is also implemented. The method is verified with a seven-DOFs manipulator. Simulation and experimental results show that, the proposed method is efficient and practical to suppress vibration caused by flexible transmission and disturbance due to friction. As result, high positioning accuracy is achieved in a certain wide working speed range. The no-load motion accuracy is better than 0.6 mm with a manipulator whose length is 1.8 meter, and the motion error is less than 3 mm with loading of four kilograms.


2008 ◽  
Vol 20 (4) ◽  
pp. 634-640 ◽  
Author(s):  
Taro Nakamura ◽  
◽  
Yuki Akamatsu ◽  
Yuta Kusaka

Recently, as robots and humans have increasingly come to share common space, especially in the fields of medical and home automation, it has become necessary to consider the frequent physical collision of robots and environments (e.g. humans). However, many robot joints employ actuators with high-ratio gear trains, and therefore, when this type of robot comes into contact with a human, physical pain may be caused. This study deals with the development of a manipulator using a smart flexible joint employing ER fluid and a pneumatic cushion that has a sensor function. In addition, position control and collision experiments were performed with the developed manipulator. The experimental results demonstrate the effectiveness of the manipulator.


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