Research On Application Of Fusion Control In Stepping Motor Position Servo System

Hybrid stepping motor with excellent running properties are widely used in many industrial projects, and it can always achieve a higher position control precision in a closed-loop control system made up of the driver and the controller with a more superior。The top priority of this article is to design a two-phase hybrid stepping motor subdivision driver for meeting the technical specifications of the stepper motor, a novel Fusion Control Strategy is proposed to control this subdivision driver, while stepper motor and reducer together constitute a closed loop position control servo system.This paper studies the internal structure of a stepping motor, the working principles and common-driven approaches, a new subdivision drive technology of stepping motor based on sinusoidal current and pulse width modulation (PWM) is proposed, the use of this technology and DSP digital control technology jointly help develop a stepper motor subdivision driver, and the circuit analysis gives of each hard drive module is given. They include DSP digital control, subdivision control circuitry, H-bridge driver circuit, protection circuit and power supply modules and other components. Experimental results show that this sub-drive design is reasonable, it can meet the various technical indicators of stepper motor.Stepper motor servo system has nonlinear, strong coupling and other characteristics, so the system identification mathematical model should be given by intelligent control algorithm before designing the controller. The traditional PID control is not sufficient to meet the precision requirements of this complex system, and according to the practical application of load variability, etc., a novel fusion control strategy is proposed based on genetic algorithm optimization of fuzzy and PID control strategy. To test the feasibility of fusion control and superiority, simulation model of stepper motor position servo system under the control and integration of traditional PID control is established, and by comparing simulation analysis the superiority of the former properties is proved.Finally, position tracking curves of the two control strategies are obtained by semi-physical simulation of servo system. Experimental results show that the designed fusion control strategy based on genetic algorithms optimization of fuzzy PID has a more stable location tracking capability and high steady-state accuracy, with high practical value.