Title: Improved motorised spindle control using a biogeography-based optimisation algorithm

Authors: Yu Hou Wu; Zhen Ning Pan; Li Xiu Zhang

Addresses: School of Mechanical Engineering, Dalian University of Technology, 116024 Dalian, China; School of Mechanical Engineering, Shenyang Jianzhu University, 110168 Shenyang, China ' School of Mechanical Engineering, Dalian University of Technology, 116024 Dalian, China ' School of Mechanical Engineering, Shenyang Jianzhu University, 110168 Shenyang, China

Abstract: The BBO algorithm is introduced to estimate the equivalent stator resistance in the classical DTC method. BBO algorithm achieves the purpose of suppressing current harmonics and reducing torque by improving the online identification accuracy of the stator resistance of the motorised spindle, thus improving the performance of the motorised spindle control system. The vibrational speed of the electric spindle is significantly reduced at each operating frequency after using the BBO-DTC algorithm. The torque ripple of the electric spindle is obviously reduced, especially at 150 Hz and from 450~600 Hz. Analyses of the electromagnetic vibration speed of the electric spindle and the experimental input torque data indicate that the control performance of the BBO-DTC algorithm is improved. Not only is the dynamic performance of the system improved, but variations in the electromagnetic flux and the electromagnetic torque are also reduced. The control performance of motorised spindle is effectively improved.

Keywords: direct torque control; DTC; biogeography-based optimisation; BBO; BBO-DTC; migration operator; perturbation operator; stator resistance; stator flux.

DOI: 10.1504/IJISTA.2020.108079

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.3, pp.234 - 256

Received: 22 Apr 2019
Accepted: 13 May 2019

Published online: 26 Jun 2020 *

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