An Optimal Active-disturbance-rejection Controller for the Rotary Speed of An Anchor-hole Drill Based on Brain Storm Optimization Algorithm

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An Optimal Active-disturbance-rejection Controller for the Rotary Speed of An Anchor-hole Drill Based on Brain Storm Optimization Algorithm

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[1]Guo Yinan,Cheng Wei,Yang Huan,et al.An Optimal Active-disturbance-rejection Controller for the Rotary Speed of An Anchor-hole Drill Based on Brain Storm Optimization Algorithm[J].Journal of Zhengzhou University (Engineering Science),2019,40(03):3-.[doi:10.13705/j.issn.1671-6833.2019.03.005]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 40 Number of periods: 2019 03 Page number: 3- Column: Public date: 2019-04-30

Title:: An Optimal Active-disturbance-rejection Controller for the Rotary Speed of An Anchor-hole Drill Based on Brain Storm Optimization Algorithm

Author(s):: Guo Yinan 1; Cheng Wei 1; Yang Huan 1; Yang Fan 1; 2; Lu hope 1; 1. School of Information and Control Engineering, China University of Mining and Technology; 2. Shanxi Lu’an Group Heshun Liyang Coal Industry Co., Ltd.

Keywords:: Brainstorm optimization algorithm; ADRC; Rig speed; Surrounding rock properties; parameter setting

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2019.03.005

Abstract:: As the key equipment of tunneling a roadway, controlling the anchor-hole drills mainly depends on the operator’s experience. Improper rotary speed of an anchor-hole drill generally results in sticking or breaking pipes, which reduces the drilling efﬁciency. Especially, the nonlinearities and time-varying parameters, as well as the disturbances resulted from various factors in the anchor-hole drill rotary system shall be taken into consideration. A novel optimal active-disturbance-rejection controller is proposed in the paper. The set value of the rotary speed is dynamically estimated in terms of the geological condition of surrounding rocks. Brain storm optimization algorithm is employed to find the optimal parameters of the controller, which have the best dynamic and steady control performances. Based on the simulation platform composed of AMESim and Matlab, the experimental results for a single surrounding rock with or without the external disturbance show that the proposed ADRC controller has better dynamic and steady performances and stronger robustness than the optimal PID controller.

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Last Update: 2019-04-16