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.
Highlights
Most motion control systems are mainly based on motion controller + servo driver, and the information exchange between motion controller and servo driver is mainly in the form of pulse commands, industrial bus, and industrial Ethernet, which have the advantages of wide application and reliable technology [1–3]
An electrohydraulic servo system with double pump direct drive volume control was invented by Chai et al [8]. e system doubles the size of the two chambers, and the oil distribution is controlled by two pumps
We configure the parameters of the platform’s timer, set the platform’s clock frequency, set the interrupt nested vector (NVIC), initialize the communication module, initialize the current, speed, and other controller variables and control parameters used by the servo platform, initialize the FOC: the purpose of vector control (FOC) and space vector pulse width modulation (SVPWM) algorithms, and configure the parameters of the communication program are among the tasks that have been completed
Summary
Most motion control systems are mainly based on motion controller + servo driver, and the information exchange between motion controller and servo driver is mainly in the form of pulse commands, industrial bus, and industrial Ethernet, which have the advantages of wide application and reliable technology [1–3]. With the demand of industry and the development of the microelectronics industry, the Xilinx ZYNQ fully programmable System-on-Chip (SOC) based on FPGA and ARM is widely used in the field of industrial control. It integrates dual ARM cores and an FPGA core, which is very suitable for the high integration technology of servo drive and motion control. E direct-drive volume control electrohydraulic servo system is investigated further, and a software simulation model is created. A dual-servo drive and control integrated platform based on the VNet neural network has been developed to address the aforementioned issues.
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