• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (9): 136-143.doi: 10.3901/JME.2019.09.136

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Development of Drive System of High Performance Micro Positioning Worktable Based on Giant Magnetostrictive Material

YU Caofeng, WANG Chuanli, XIE Tian, YANG Linjian, JIANG Zhi   

  1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001
  • Received:2018-05-11 Revised:2018-12-18 Online:2019-05-05 Published:2019-05-05

Abstract: Improving the performance of a micro positioning worktable is one of major approaches used to improve the processing performance of high-end manufacturing equipment. Aiming at the problems such as low drive force, short stroke and low positioning accuracy existing in the drive system of existing micro positioning worktable, a drive system of micro positioning worktable taking the giant magnetostrictive material as the core component is developed. In order to improve modeling accuracy of output displacement of the drive system, an output displacement model of the drive system is set up based on the Jiles-Atherton hysteresis model. In addition, in order to improve the identification precision of model parameters, a hybrid optimization parameter identification algorithm which has high accuracy and combines the rapid local search function of particle swarm algorithm and the global convergence of artificial fish swarm algorithm is proposed. And in order to compensate the output displacement error of the drive system, a dynamic recurrent neural network feedforward-fuzzy PID feedback control strategy is introduced. And in order to improve the execution efficiency of the program, a high-speed DSP chip is used to develop the control system. The prototype is built and verified with the experimental platform established. The research results indicate that the maximum displacement of the developed drive system is 30.8 μm, the maximum output force is 292.3 N, the positioning accuracy is 0.75 μm and the maximum repeatability error is 0.4 μm. This result lays a theoretical foundation for development of high-performance precision positioning devices.

Key words: control strategy, giant magnetostrictive material, hysteresis nonlinear characteristic, mixed optimization algorithm

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