A Study on Trajectory Control System of Hydraulic Excavators Based on Multi-Domain Physical Model*

Authors

  • Zhen Zhang School of Automotive Engineering, Harbin Institute of Technology, Weihai, China
  • Jingming Zhang School of Automotive Engineering, Harbin Institute of Technology, Weihai, China
  • Nianning Luo School of Automotive Engineering, Harbin Institute of Technology, Weihai, China

DOI:

https://doi.org/10.13052/ijfp1439-9776.2337

Keywords:

Hydraulic excavator, trajectory control, multi-domain physical model, FNNPID

Abstract

Hydraulic excavators are complex mechatronics construction machinery with characteristics of multidiscipline intersection and multi-domain close coupling. To analyze the comprehensive property of its trajectory control system, a method of multi-system hybrid modeling and simulation based on MATLAB is proposed and described. In this paper, the multi-domain physical model of a medium-sized hydraulic excavator is established. The considered model is mainly comprised of four other subsystems: a machine system, a hydraulic system, a trajectory control system and a sensor system. Moreover, a fuzzy neural network (FNN) PID strategy is introduced to the trajectory control system to guarantee the accuracy of automatic operation. On the basis of the multi-domain physical model, typical simulation experiments for working patterns were performed to validate the performance of the FNNPID controller. Comparison results demonstrate that the precision and velocity response of the FNNPID controller is better than that of the PID with traditional algorithm. The tracking errors of the boom, the arm, the bucket and the swing are decreased by 3∘, 3.2∘, 5.5∘ and 7.5∘, respectively. Establishment of the multi-domain physical model offers technical means for optimization design and rapid modeling of the complex electromechanical system.

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Author Biographies

Zhen Zhang, School of Automotive Engineering, Harbin Institute of Technology, Weihai, China

Zhen Zhang graduated from School of Automotive Engineering at Harbin Institute of Technology, Weihai, China, in 2020. His field of research is in system modelling, simulation and optimisation.

Jingming Zhang, School of Automotive Engineering, Harbin Institute of Technology, Weihai, China

Jingming Zhang received a Ph.D. degree at School of Automotive Engineering at Harbin Institute of Technology, Weihai, China, in 2010. He is a professor fellow at vehicle system dynamics and chassis control technology for new energy Vehicles.

Nianning Luo, School of Automotive Engineering, Harbin Institute of Technology, Weihai, China

Nianning Luo is a doctor majoring in Fluid Transmission and Control in the School of Mechanical and Electrical Engineering at Harbin Institute of Technology. His field of research is in heterogeneous multi-agent cluster control and Integrated Control Technology for Construction Machinery System.

References

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Published

2022-09-12

How to Cite

Zhang, Z. ., Zhang, J. ., & Luo, N. . (2022). A Study on Trajectory Control System of Hydraulic Excavators Based on Multi-Domain Physical Model*. International Journal of Fluid Power, 23(03), 395–410. https://doi.org/10.13052/ijfp1439-9776.2337

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Section

GFPS 2020