Design of bridge crane sliding mode controller based on improved grey wolf algorithm

Xiaoxi Hao; Jianghua Liu; Junhui Li; Tianlei Wang; Jing Zhou; Zhimin Zhao

doi:10.1117/12.2644497

10 November 2022 Design of bridge crane sliding mode controller based on improved grey wolf algorithm

Xiaoxi Hao, Jianghua Liu, Junhui Li, Tianlei Wang, Jing Zhou, Zhimin Zhao

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123010B (2022) https://doi.org/10.1117/12.2644497
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

To solve the complicated parameter tunning problem of bridge crane sliding mode controller, a sliding mode controller based on IGWO (Improved Grey Wolf Algorithm) was designed. Different from the existing methods, the proposed method can obtain good control effect without going through the complicated manual adjustment process. Specifically, a new switching function is designed to reduce chattering. In addition, the population diversity of traditional gray Wolf algorithms is poor. To enhance its search ability, an IGWO algorithm based on neighborhood learning is proposed and the controller parameters are set with it. The simulation consequences show that the proposed controller can position and anti-swing well.

Citation Download Citation

Xiaoxi Hao, Jianghua Liu, Junhui Li, Tianlei Wang, Jing Zhou, and Zhimin Zhao "Design of bridge crane sliding mode controller based on improved grey wolf algorithm", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123010B (10 November 2022); https://doi.org/10.1117/12.2644497

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available