中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (S2): 23-27.doi: 10.16265/j.cnki.issn1003-3033.2023.S2.0013

• 安全工程技术 • 上一篇    下一篇

基于改进灰狼优化算法的自移机尾控制方法

鞠兴军(), 魏德志   

  1. 国家能源集团 宝日希勒能源有限公司, 内蒙古 呼伦贝尔 021008
  • 收稿日期:2023-07-28 修回日期:2023-10-11 出版日期:2023-12-30
  • 作者简介:

    鞠兴军 (1976—),男,山东平度人,硕士,正高级工程师,主要从事露天智能开采技术和工程地质技术研究。E-mail:

A self-moving tail control method based on improved GWO algorithm

JU Xingjun(), WEI Dezhi   

  1. Baorixile Energy Company, China Energy Group, Hulunbuir Inner Mongolia 021008, China
  • Received:2023-07-28 Revised:2023-10-11 Published:2023-12-30

摘要:

为更好地解决自移机尾的姿态控制问题,将改进后的灰狼算法(GWO)融入到比例积分微分控制器PID控制器中,设计模糊控制器,提出改进的GWO优化模糊PID控制系统架构,实现自移机尾的迈步自移、同步举升、侧移校正的安全控制动作。建立带式输送机自移机尾液压控制系统数学模型,设计自移机尾侧移动作控制仿真与自移机尾多液压缸同步举升控制仿真,通过仿真分析的方法分别对比未加算法的PID控制效果,以及改进前后的灰狼算法所优化的模糊PID控制效果。结果表明:采用PID模糊控制器并融合改进后的灰狼优化算法,可以使自移机尾安全控制系统性能更稳定、控制效率更高。

关键词: 自移机尾, 液压系统, 模糊PID控制器, PID控制, 灰狼优化算法(GWO)

Abstract:

In order to better control the attitude of a self-moving tail, the improved GWO algorithm was integrated into the PID controller, and a fuzzy controller was designed. An optimized fuzzy PID control system architecture based on improved GWO was proposed to realize the safety control actions of the tail including self-moving, synchronous lifting, and side-moving correction. The mathematical model of the hydraulic control system of the self-moving tail of the belt conveyor was established, and the simulation of the side-moving control of the self-moving tail and the synchronous lifting control of the multi-hydraulic cylinders of the self-moving tail was designed. The results of PID control without algorithm and fuzzy PID control optimized by GWO algorithm before and after improvement were compared by simulation analysis. The results show that the fuzzy PID controller and the improved GWO algorithm can make the safety control system of the self-moving tail more stable and more efficient.

Key words: self-moving tail, hydraulic system, fuzzy proportion integration differentiation (PID) controller, proportion integration differentiation (PID) control, grey wolf optimization (GWO) algorithm

中图分类号: