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Open Access

Tower crane path planning based on improved ant colony algorithm

Yumin HE1( ), Xiangyang HU1, Jinhua ZHANG1, Shipeng YAO1, Difang LIU2, Xinyan MEN2
College of Electrical & Mechanical Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China
Shaanxi Construction Machinery Co., Ltd., Xi’an 710201, China
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Abstract

In order to solve the problem of path planning of tower cranes, an improved ant colony algorithm was proposed. Firstly, the tower crane was simplified into a three-degree-of-freedom mechanical arm, and the D-H motion model was established to solve the forward and inverse kinematic equations. Secondly, the traditional ant colony algorithm was improved. The heuristic function was improved by introducing the distance between the optional nodes and the target point into the function. Then the transition probability was improved by introducing the security factor of surrounding points into the transition probability. In addition, the local path chunking strategy was used to optimize the local multi-inflection path and reduce the local redundant inflection points. Finally, according to the position of the hook, the kinematic inversion of the tower crane was carried out, and the variables of each joint were obtained. More specifically, compared with the traditional ant colony algorithm, the simulation results showed that improved ant colony algorithm converged faster, shortened the optimal path length, and optimized the path quality in the simple and complex environment.

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Journal of Measurement Science and Instrumentation
Pages 509-517

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Cite this article:
HE Y, HU X, ZHANG J, et al. Tower crane path planning based on improved ant colony algorithm. Journal of Measurement Science and Instrumentation, 2024, 15(4): 509-517. https://doi.org/10.62756/jmsi.1674-8042.2024051

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Received: 23 June 2023
Revised: 18 August 2023
Accepted: 11 December 2023
Published: 01 December 2024
© The Author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.