Investigation of Optimal Control System for Arc Spraying  

作　　者：LIHe-qi LIChun-xu CHENKe-xuan LUGuang 

机构地区：[1]EducationMinistryKeyLab.ofAdvancedProcessingTechnologyforNon-ferrousMaterials,LanzhouUniversityofScience＆Technology,Lanzhou,China [2]CollegeofMaterialsScienceandEngineering,LanzhouUniv.ofScience＆Technology,Lanzhou,China

出　　处：《材料热处理学报》2004年第05B期787-790,共4页Transactions of Materials and Heat Treatment

摘　　要：An arc voltage feedback PID controller and arc current feedback PID controller are designed with a control algorithm of discrete PID separately to realize optimal control in computer controlling arc-spraying system. In order to realize optimization and adaptation of the arc-spraying process parameters as well as to reduce blindness in selecting process parameters, a serial communication interface between a PC for spraying data acquisition and a MCU of the control system is designed so that on-line modification of the PID control parameters is implemented. At the same time, a genetic algorithm is adopted to optimize the control parameters of PID controller, where the difference between the actually sampled value and the setting value of spraying current is made as the judgment criterion to determine the adaptability. The given range of control parameters varies from 0 to 15 and is to be encoded by a coding of four-bit binary string. The optimal population of control parameters of the PID controller can be obtained through reproduction, crossing and mutation, so that the optimal controlling in arc-spraying process is realized and an excellent coating of arc spraying is obtained.An arc voltage feedback PID controller and arc current feedback PID controller are designed with a control algorithm of discrete PID separately to realize optimal control in computer controlling arc-spraying system. In order to realize optimization and adaptation of the arc-spraying process parameters as well as to reduce blindness in selecting process parameters, a serial communication interface between a PC for spraying data acquisition and a MCU of the control system is designed so that on-line modification of the PID control parameters is implemented. At the same time, a genetic algorithm is adopted to optimize the control parameters of PID controller, where the difference between the actually sampled value and the setting value of spraying current is made as the judgment criterion to determine the adaptability. The given range of control parameters varies from 0 to 15 and is to be encoded by a coding of four-bit binary string. The optimal population of control parameters of the PID controller can be obtained through reproduction, crossing and mutation, so that the optimal controlling in arc-spraying process is realized and an excellent coating of arc spraying is obtained.

关 键 词：电弧喷镀 数学模型 PID控制 遗传算法 自适应控制 

分 类 号：TG174.442[金属学及工艺—金属表面处理]