Dynamic characteristic analysis of crane luffing control system based on ant colony algorithm

ZHANG Jin, TANG You-liang
(Suqian University, Suqian 223800, China)

Abstract: Aiming at the problem of poor position control performance of luffing hydraulic cylinder of traditional truck crane, a type truck crane was adopted as an example, the system simulation analysis and test of its luffing hydraulic cylinder position control system were carried out. The position control system of luffing hydraulic cylinder was improved by replacing the electromagnetic directional valve used in truck crane with proportional directional valve of higher control precision. Based on the establishment of the system mathematical model, the PID parameters were respectively optimized by Ziegler Nichols algorithm, ant colony algorithm and drosophila algorithm, and the control performance of the system with different PID parameters was simulated. Finally, a test platform was built to test the control performance of the system, and the simulation results were verified by analyzing the test data. The results show that the system control performance of PID parameters optimized by ant colony algorithm is better than the system with PID parameters optimized by the other two algorithms, and it can meet the requirements of truck crane for luffing hydraulic cylinder control performance.

Key words: truck crane; luffing hydraulic cylinder; position control system; ant colony algorithm; simulation analysis