High-Precision and Modular Decomposition Control for Large Hydraulic Manipulators

Author:

Ding Ruqi12,Liu Zichen2,Li Gang12,Deng Zhikai2

Affiliation:

1. Nanchang Key Laboratory of Vehicle Intelligent Equipment and Control, East China Jiaotong University, Nanchang 330013, China

2. School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China

Abstract

It is difficult to achieve a high-precision motion control in hydraulic manipulators due to their structural redundancy, strong coupling of closed-chain structures, and flow–pressure coupling. In this paper, a high-precision motion control method for hydraulic manipulators is proposed based on the traditional virtual decomposition control (VDC). The method proposed avoids an excessive virtual decomposition of the hydraulic manipulator and requires fewer model parameters than the traditional VDC. Further, the control precision improved by combining an adaptive real-time update of the inertial parameters. Compared with MBC, the proposed control method improved the motion accuracy of the hydraulic manipulator by more than 40% and 20% under elliptical and triangular trajectories. The simulation results showed that the proposed control method reduced the maximum position errors in Cartesian space by 90.4%, 86.8%, 23.6%, and 44.3% compared with PID and model-based control (MBC) in the absence of disturbances. The maximum position error in Cartesian space was reduced by 76.5% compared with that of MBC in a simulation with external disturbances. It can be seen from all the simulation results that with the proposed control method, the position error of the manipulator was less than 50 mm. The proposed control method effectively improved the motion precision of the examined hydraulic manipulator.

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation

Key Research and Development Program of Zhejiang Province

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

Reference27 articles.

1. Modelling, simulation and identification of a mobile concrete pump;Henikl;Math. Comput. Model. Dyn. Syst.,2015

2. Human–Robot Shared Control Based on Locally Weighted Intent Prediction for a Teleoperated Hydraulic Manipulator System;Luo;IEEE/ASME Trans. Mechatron.,2022

3. Cheng, M., Li, L., Ding, R., and Xu, B. (2021). Real-Time Anti-Saturation Flow Optimization Algorithm of the Redundant Hydraulic Manipulator. Actuators, 10.

4. Development of Point-to-Point Path Control in Actuator Space for Hydraulic Knuckle Boom Crane;Konrad;Actuators,2020

5. Driving performance of underwater long-arm hydraulic manipulator system for small autonomous underwater vehicle and its positioning precision;Chao;Int. J. Adv. Robot. Syst.,2017

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