高压脉冲破岩放电回路建模及参数辨识

doi:10.3901/JME.2022.15.243

机械工程学报 ›› 2022, Vol. 58 ›› Issue (15): 243-251.doi: 10.3901/JME.2022.15.243

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高压脉冲破岩放电回路建模及参数辨识

杨扬^1,2, 李昌平³, 丁华锋³

1. 武汉理工大学自动化学院武汉 430070;
2. 武汉理工大学现代汽车零部件技术湖北省重点实验室武汉 430070;
3. 中国地质大学(武汉)机械与电子信息学院武汉 430074

收稿日期:2021-09-15 修回日期:2022-04-07 出版日期:2022-08-05 发布日期:2022-10-13
通讯作者: 丁华锋(通信作者),男,1977年出生,博士,教授,博士研究生导师。主要研究方向为智能机械装备和机器人。E-mail:dhf@ysu.edu.cn
作者简介:杨扬,女,1990年出生,博士研究生,实验师。主要研究方向为智能装备与控制、系统建模与辨识。E-mail:whutyangyang@whut.edu.cn;李昌平,男,1990年出生,博士,讲师。主要研究方向为电脉冲破岩、智能地质装备。E-mail:lichangpingcug@126.com
基金资助:
国家自然科学基金资助项目（42002310）。

Modeling and Parameter Identification of High Voltage Pulse Rock-breaking Discharge Circuit

YANG Yang^1,2, LI Changping³, DING Huafeng³

1. School of Automation, Wuhan University of Technology, Wuhan 430070;
2. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070;
3. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074

Received:2021-09-15 Revised:2022-04-07 Online:2022-08-05 Published:2022-10-13

摘要/Abstract

摘要： 高压脉冲放电破碎岩石的过程是复杂的非线性过程，存在放电时间短且破岩效果难以预测的问题。因此，建立高压脉冲破岩放电回路等效模型来描述破岩放电过程，提出基于改进的混沌灰狼优化（Gray wolf optimization，GWO）算法进行等效模型参数辨识。首先采用改进的奇异值分解算法对破碎不同岩石过程的电流进行滤波。然后通过6种标准测试函数，证明了与非线性最小二乘（Nonlinear least square，NLS）法、遗传算法（Genetic algorithm，GA）、粒子群优化（Particle swarm optimization，PSO）算法和GWO算法相比，改进的混沌GWO算法具有更好的寻优性能。最后将改进的混沌GWO算法的参数辨识结果与其他四种算法进行对比，结果验证了放电回路等效模型的准确性，也证明了该算法在辨识高压脉冲破岩放电回路等效模型时具有更快的收敛速度和更高的精度。同时，可求解出冲击波，从而能够分析高压脉冲破岩的动态过程。

关键词: 放电回路, 等效模型, 参数辨识, 改进的混沌GWO算法

Abstract: The high voltage pulse rock breaking discharge is a complex and nonlinear process, and the discharge time is short and the effect of rock breaking is difficult to predict.Therefore, the equivalent model of the high voltage pulse discharge circuit is established to describe the process of rock breaking discharge.An improved chaotic GWO algorithm is proposed to identify parameters of the model.Firstly, an improved singular value decomposition method is used to filter the collected discharge current data of different rock breaking processes.And then through six standard test functions, it is proved that, compared with the nonlinear least square(NLS) method, genetic algorithm(GA), particle swarm optimization(PSO) algorithm and GWO algorithm, the improved chaotic GWO algorithm has better optimizing performance.Finally, the parameter identification results of the improved chaotic GWO algorithm are compared with the other four algorithms.Experimental results verify the accuracy of the equivalent model of the discharge circuit, and also prove that the algorithm has faster convergence speed and higher accuracy when identifying the equivalent model of the high voltage pulse rock breaking discharge circuit.And the dynamic process of rock breaking by high pressure pulse can be analyzed by solving the shock wave.

Key words: discharge circuit, equivalent model, parameter identification, improved chaotic GWO algorithm

中图分类号:

TP29

杨扬, 李昌平, 丁华锋. 高压脉冲破岩放电回路建模及参数辨识[J]. 机械工程学报, 2022, 58(15): 243-251.

YANG Yang, LI Changping, DING Huafeng. Modeling and Parameter Identification of High Voltage Pulse Rock-breaking Discharge Circuit[J]. Journal of Mechanical Engineering, 2022, 58(15): 243-251.

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高压脉冲破岩放电回路建模及参数辨识

Modeling and Parameter Identification of High Voltage Pulse Rock-breaking Discharge Circuit

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