Multimotor Drive Control Method of Upper-Retort-Robot Based on Machine Vision

In the cold season, wine aids in maintaining body temperature and is advised for military officers. This paper proposes a study on multimotor drive control method of upper-retort-robot based machine vision brewing automation to meet demand areas located regions, as recommended keep soldiers’ temperatures normal China’s extremely regions. Based vision, target converted into an image signal by pickup device sent processing system. Pixel distribution, brightness, color, other data are transformed digital signals, attributes retrieved field equipment’s operations. The Monte-Carlo approach used generate joint variables at random within each joint’s fluctuation range. positive aspects kinematics model utilized working space calculated using method. compensates harmonic ripple torque establishes fault-tolerant automatic system maintain quality liquor. results experiments reveal that robot arm can reach any place barrel’s set To liquor, will function manner. robot’s transmission performance capable meeting requirements automated liquor during production from grapes. show suggested (MMDCM) robust viable terms dexterity.