电机调速的模糊微机化控制系统  

fuzzy Micro-computerize control system of motor speed

作　　者：张晓明[1] 冯素梅[2] 杨治平[3] 

机构地区：[1]沈阳工业大学信息科学与工程学院,沈阳110023 [2]重庆师范大学图书馆信息咨询中心,重庆400047 [3]重庆师范大学现代教育技术系,重庆400047

出　　处：《微计算机信息》2005年第5期46-47,共2页Control & Automation

摘　　要：电机调速过程受负荷变化和系统扰动的影响,使得速度控制过程表现出不确定性,它的精确的数学模型很难构建,基于数学模型的参数化控制算法也很难实施。本文给出了一种针对电机调速过程的有效的控制算法。采用Tacagi-Sugeno分段模糊化再进行连接的方法,用局部的模糊线性模型拟合来代替整体的非线性模型,完成了模糊模型辨识;并基于此给出了模糊控制算法,使得电机的输出速度保持动态稳定。实际运行结果表明,所给的控制方案适合于电机调速过程的有效控制。The load changed of motor and disturbances of the system affects which normal run, while it makes process of speed controlled is uncertain, because it's mathematical model is structured is difficult, parameterize control scheme based on the mathematical model is not implemented. This paper presents an efficient method for the motor speed controlled, it applies Tacagi-Sugeno's method that each linear sub-models are connected for fuzzy algorithm, an algorithm of the fuzzy model identifying and fuzzy control scheme is fulfilled through whole nonlinear model are replaced with local linear models, it makes speed of motor to maintain steady, Practice running results show that it is efficient that speed processes of motor are controlled.

关 键 词：电机调速 不确定过程 模糊化拟合 模糊自适应控制 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]