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

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.

Inspec keywords: variable structure systems; cranes; synchronisation

Other keywords: cerebella neural network; traditional control method; slave control; master control; synchronous error; control index; lifting process; sliding mode control method; lifting condition; hydraulic pump; hydraulic lifting system; double motor; crane; synchronisation control precision; dynamic characteristics analysis; dual motor synchronous control

Subjects: Multivariable control systems; Control applications to materials handling; Materials handling equipment

http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.9001
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content/journals/10.1049/joe.2018.9001
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