Robotic excavator trajectory control using an improved GA based PID controller

H Feng, CB Yin, W Weng, W Ma, J Zhou, W Jia… - … Systems and Signal …, 2018 - Elsevier
In order to achieve excellent trajectory tracking performances, an improved genetic
algorithm (IGA) is presented to search for the optimal proportional-integral-derivative (PID) …

Precision motion control for electro-hydraulic servo systems with noise alleviation: A desired compensation adaptive approach

J Yao, W Deng, W Sun - IEEE/ASME Transactions on …, 2017 - ieeexplore.ieee.org
A desired compensation adaptive controller is proposed in this paper for precision motion
control of electro-hydraulic servo systems, with consideration of the nonlinearity, modeling …

Robust adaptive precision motion control of hydraulic actuators with valve dead-zone compensation

W Deng, J Yao, D Ma - ISA transactions, 2017 - Elsevier
This paper addresses the high performance motion control of hydraulic actuators with
parametric uncertainties, unmodeled disturbances and unknown valve dead-zone. By …

Discrete time delay control for hydraulic excavator motion control with terminal sliding mode control

J Kim, M Jin, W Choi, J Lee - Mechatronics, 2019 - Elsevier
It has been noted that the motion control of a hydraulic robotic excavator has some
difficulties in excavator mechanical structure variations, disturbance, non-linearity of …

Precision motion control of robotized industrial hydraulic excavators via data-driven model inversion

M Lee, H Choi, CU Kim, J Moon… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
This work proposes a novel precision motion control framework of robotized industrial
hydraulic excavators via data-driven model inversion. Rather than employing a single neural …

Disturbance observer-based passivity and impedance control for trajectory tracking in autonomous hydraulic excavators

J Gong, J Chen, D Cai, W Wei, Y Long - Automation in Construction, 2025 - Elsevier
Trajectory tracking control is pivotal for achieving autonomous operation in hydraulic
excavators. This paper proposes a robust control scheme, merging passivity-based and …

Online learning control of hydraulic excavators based on echo-state networks

J Park, B Lee, S Kang, PY Kim… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In some of recent advances in automation of construction equipment, much research has
been conducted on the control of hydraulic excavators in both industry and academia for the …

Parameters identification and trajectory control for a hydraulic system

H Feng, C Yin, W Ma, H Yu, D Cao - ISA transactions, 2019 - Elsevier
In order to improve the tracking accuracy of a hydraulic system, an improved ant colony
optimization algorithm (IACO) is proposed to optimize the values of proportional–integral …

Deep learning-based autonomous excavation: a bucket-trajectory planning algorithm

J Huh, J Bae, D Lee, J Kwak, C Moon, C Im, Y Ko… - IEEE …, 2023 - ieeexplore.ieee.org
Increased safety risks and the difficulties of training excavator operators, combined with
manpower shortages, have led to an increased demand for machine automation. This study …

[PDF][PDF] 智能化挖掘机的研究现状与发展趋势

李运华, 范茹军, 杨丽曼, 赵斌, 权龙 - 机械工程学报, 2020 - scholar.archive.org
智能化挖掘机是传统挖掘机与人工智能, 自动控制和信息物理网络等技术深度融合的产物.
相对于传统挖掘机, 其拥有更高的功率利用率及作业精度, 集远程作业, 环境感知 …