基于实数编码遗传算法的传动比优化研究  

Research on Reduction Ratio Optimization Based on Genetic Algorithm

作　　者：王宇林[1,2] 赵佳鹏 黄技[1] 

机构地区：[1]广东海洋大学机械与动力工程学院,广东湛江524088 [2]广东省小家电创新设计与制造工程中心,广东湛江524000

出　　处：《机电工程技术》2017年第7期9-12,共4页Mechanical & Electrical Engineering Technology

基　　金：广东省教育厅青年基金项目(编号:2014KQNCX081);广东海洋大学创新强校工程项目(编号:GDOU2016050254);广东大学生科技创新培育专项(编号:pdjh2017a0234)

摘　　要：机电传动系统一般采用电机与减速机构配套使用方式,减速机主要用于降低输出转速,提高驱动力矩,因此传动比的选择直接影响机电系统的整体性能。以固相萃取工作台为研究对象,规划一种S形速度曲线进行工作台伺服定位和速度跟踪控制,以保证工作台工作过程中加速度连续,避免高速运动过程产生冲击。同时以平均操作时间最短为优化目标,使用实数编码遗传算法在工程应用原则约束下对系统传动比进行优化配置,仿真结果表明基于实数编码遗传算法优化得到的传动比可进一步发挥交流电机的性能,利于降低系统制造成本。Electromechanical systems generally combines a motor with reducer, and the latter is mainly applied to reduce the output speed and increase the driving torque of this system. Therefore, the choice of the reduction ratio directly affects the overall performance of the electromeehanical system. We used solid phase extraction workstation as example, and used an S-shape velocity curve to conduct position and speed tracking control, to ensure its acceleration continuity and to reduce its impact while it is moving in a high speed. We proposed a method based on the average operation time of picking up and placing as the optimization target, optimized the reduction ratio of the driving system with real-code genetic algorithm. The simulation results show that the optimization results can give full play to the performance of AC servo motor, consequently helps to reduce the cost of the driving system.

关 键 词：传动比 遗传算法 交流伺服电机 优化 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]