Work

Model predictive control for overhead crane with variable rope length

Year: 2025

Type: conference-paper

Abstract: Bridge cranes with rope length freedom are becoming more and more common in order to increase the operational efficiency of crane systems. In this paper, the Model Predictive Control (MPC) method is applied to an overhead crane system with variable rope lengths. Firstly, the dynamic model of the crane system is established and the state space equation of the system is constructed. Secondly, the model predictive controller is designed based on the optimal method. Finally, the effectiveness of the proposed method is verified through comparative experiments. The simulation results show that the proposed method effectively improves the positioning accuracy and load swing suppression ability of the system.

DOI: 10.1145/3756423.3756461

Authors: Xiaobin Qu, Shujian Tang, Yu Hou, Minnan Piao, Jiayi Zhi

Institutions: China Nuclear Power Technology Research Institute (China), Xi'an Jiaotong University, Civil Aviation University of China, Nankai University

Language: English

Topic: Dynamics and Control of Mechanical Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Funders: National Natural Science Foundation of China, Aeronautical Science Foundation of China, Fundamental Research Funds for the Central Universities