电机温度时滞耦合自抗扰优化控制仿真研究
Active Disturbance Rejection Control Simulation for Motor Temperature Delayed Coupling
陈娇英 1王伟平2
作者信息
- 1. 广西工业职业技术学院电子与电气工程系,南宁530001
- 2. 国网上海市电力公司嘉定供电公司,上海201800
- 折叠
摘要
传统的PID电机温度控制算法在控制过程中,存在抗扰能力差,控制误差大的问题.降低了对电机温度的控制精度,导致能耗大,电机过热.提出一种改进的电机温度控制方法,通过遗传算法改进PID控制过程.利用Matlab平台模拟实验环境,与传统的PID控制算法进行了仿真实验对比.仿真结果表明,自抗扰控制算法能够有效的对电机温度进行解耦控制,实现了对电机温度的精确控制.
Abstract
Traditional PID temperature control algorithm in the process of control,there is immunity ability is poor,the problem of large control error.Reduces the motor temperature control accuracy,leading to large energy consumption,motor overheating.An improved motor temperature control method,through the genetic algorithm improved PID control process.Using Matlab simulation environment,compared with the traditional PID control algorithm simulation results contrast.The simulation results show that the immunity control algorithm can effectively to decoupling control of the motor temperature,to achieve the precise control of the motor temperature.
关键词
电机过热/自抗扰控制算法/时滞/解耦Key words
motor overheating/active disturbance rejection contrabl algorithm/delay/decoupling引用本文复制引用
出版年
2014
NETL
NSTL
维普
万方数据