In:
Security and Communication Networks, Hindawi Limited, Vol. 2022 ( 2022-3-9), p. 1-10
Abstract:
A dual-servo drive and control integrated platform based on VNet neural network development is aimed to address the concerns of poor realization function, operational stability, and lengthy reaction time in the presently built dual-servo drive and control integrated platform. The VNet neural network model structure is established, the VNet neural network model is trained, and the VNet neural network adaptive control method is introduced. Based on VNet neural network development, the hardware design of the dual servo drive control integrated platform has been completed through the overall hardware architecture of the platform, power drive circuit design, and control unit circuit design. The control program was developed using the C language based on a combination of STM32F4 library functions. Through the overall structure of the platform software, the design of functional modules and the design of the servo drive controller, the software design of the dual-servo drive and control integrated platform is completed, and the dual-servo drive and control integrated platform design is realized. The experimental results show that the proposed method design platform’s implementation function and operational stability are good, and the platform response time can be effectively shortened.
Type of Medium:
Online Resource
ISSN:
1939-0122
,
1939-0114
DOI:
10.1155/2022/8016474
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2022
detail.hit.zdb_id:
2415104-X
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