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Motion precision and energy consumption control for feed system of CNC machine tools
Published:2022-01-19 author:ZHOU Wei, ZHU Ruo-ling, ZHANG Hao. Browse: 1401 Check PDF documents
Motion precision and energy consumption control for 
feed system of CNC machine tools


ZHOU Wei1, ZHU Ruo-ling2, ZHANG Hao3

(1.School of Mechanical Engineering, Changzhou Vocational Institute of Mechatronic Technology, Changzhou 
213164, China;2.School of Automobile,Henan College of Transportation, Zhengzhou 450000, China;

3.School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China)


Abstract: Aiming at the problem of improving motion accuracy and energy consumption control for feed system of CNC machine tools, a new adaptive sliding mode control (ASMC) method was proposed. Based on the dynamics of feed system and sliding mode control (SMC) theory, an adaptive sliding mode reaching law was proposed. The control gain was updated adaptively according to square of the tracking error. Then, the stability of the proposed control method was proved by Lyapunov theory. Finally, the motion accuracy and energy consumption control effect of the proposed method were verified by experiments and comparing with three kinds of existing adaptive control methods. The results show that, comparing with other adaptive control methods, the average positioning errors of X and Y axes of the feed system can be at most reduced by 16.4% and 20.3% respectively under the same control parameters. And the energy consumption of X and Y axes of the feed system with the proposed method can be at most reduced by 1.92% and 0.96% respectively under the condition of similar control performances. In addition, the proposed method can suppress chattering caused by discontinuous control more effectively.

Key words:  CNC machine tools;motion accuracy;energy consumption control;feed system; adaptive sliding-mode control(ASMC)


ZHOU Wei, ZHU Ruo-ling, ZHANG Hao. Motion precision and energy consumption control for feed system of CNC machine tools[J].Journal of Mechanical & Electrical Engineering, 2021,38(11):1387-1394.

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