Dynamic characteristics analysis and dual motor synchronous control of hydraulic lifting system for large cranes

Autor: Chunyou Zhang, Lan Wu, Lihua Wang, Hong-yan Shi
Rok vydání: 2018
Předmět:
slave control
0209 industrial biotechnology
Computer science
hydraulic lifting system
synchronisation control precision
020209 energy
synchronisation
Energy Engineering and Power Technology
02 engineering and technology
master control
dynamic characteristics analysis
Sliding mode control
lifting condition
020901 industrial engineering & automation
Control theory
Robustness (computer science)
sliding mode control method
0202 electrical engineering
electronic engineering
information engineering
hydraulic pump
Hydraulic pump
lifting process
Artificial neural network
cerebella neural network
synchronous error
General Engineering
cranes
double motor
control index
variable structure systems
lcsh:TA1-2040
crane
Synchronous control
dual motor synchronous control
traditional control method
lcsh:Engineering (General). Civil engineering (General)
Software
Control methods
Zdroj: The Journal of Engineering (2018)
ISSN: 2051-3305
DOI: 10.1049/joe.2018.9001
Popis: The hydraulic lifting system is the key part of the crane. A sliding mode control method based on the cerebella neural network is proposed to solve the problem that the robustness of the traditional control method is poor in view of the problem of the synchronous error of the double motor in the lifting process of the crane. On the basis of the master and slave control, the outlet pressure of the hydraulic pump and the angle of the hook are simulated as the control index. Finally, the experimental study is carried out on the lifting condition. The results show that, compared with the traditional method, the proposed control strategy can effectively improve the synchronisation control precision of two motors, strong anti-interference ability and good robust performance.
Databáze: OpenAIRE
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