应用红外图像识别技术的电机滑模变结构同步控制方法

为了使电机机械部件按照标准要求运行、满足自动化生产需求,提出一种应用红外图像识别技术的电机滑模变结构同步控制方法。利用光学系统、扫描器、探测器和制冷机等设备,组成热成像系统,采集目标具体信息,通过空间域增强和灰度均衡操作,增强图像整体画质和均匀灰度值,利用 Laplacian 算子锐化图像边缘,丰富细节信息,保护图像背景,将静止坐标系变换为旋转坐标系,结合电机的电压、定子磁链与转矩方程,构建电机运动数学模型;针对滑膜同步控制器,预留图像传输接口,将图像信息转变为电信号,选取切换函数,设置函数切换、状态变量和等效 3 种控制规律,结合不同目标实际情况,完成滑膜变结构同步控制。仿真结果表明,该算法能够获得更多目标信息,提供丰富的控制依据,提高了电机滑模变结构同步控制过程的精准度和稳定性。

Sliding Mode Variable Structure Synchronous Control Method of Motor Using Infrared Image Recognition Technology

In order to make the mechanical parts of motor run according to the standard requirements and meet the requirements of automatic production , a sliding mode variable structure synchronous control method of motor based on infrared image recognition technology is proposed.The thermal imaging system is composed of optical system , scanner , detector , refrigerator and other equipment to collect the specific information of the target , enhance the overall image quality and uniform gray value of the image through spatial domain enhancement and gray equalization , sharpen the image edge by Laplacian operator , enrich the detail information , protect the image background , and transform the static coordinate system into a rotating coordinate system , Combined with the voltage , stator flux and torque equations of the motor , the motor motion mathematical model is constructed ; For the synovial synchronization controller , the image transmission interface is reserved , the image information is transformed into electrical signals , the switching function is selected , and the three control laws of function switching , state variable and equivalent are set.Combined with the actual situation of different targets , the synovial variable structure synchronization control is completed.Simulation results show that the proposed algorithm can obtain more target information , provide rich control basis , and improve the accuracy and stability of motor sliding mode variable structure synchronous control process.