• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2022, Vol. 58 ›› Issue (15): 243-251.doi: 10.3901/JME.2022.15.243

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

YANG Yang1,2, LI Changping3, DING Huafeng3   

  1. 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

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

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