二次调节转速系统的自适应神经模糊PID控制  

Self-adaptive Neural Fuzzy-PID Control for Secondary Regulation Speed System

作　　者：李国友[1] 周巧玲[1] 张广路[1] 董敏[2] 

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004 [2]燕山大学机械工程学院,河北秦皇岛066004

出　　处：《机床与液压》2010年第21期95-98,共4页Machine Tool & Hydraulics

摘　　要：阐述二次调节转速系统的原理并建立其数学模型。针对系统参数时变、非线性的特点,设计一种自适应神经模糊PID控制器,该控制器利用PID算法实现准确控制,通过神经模糊控制提高控制的自适应性。利用MATLAB模糊逻辑工具箱对系统进行仿真,并与传统PID控制进行比较。结果表明:采用自适应神经模糊PID控制,系统响应快、超调小、过渡时间短、能够较好地抑制干扰,具有良好的动态特性和稳定性。The principles were presented and the mathematic model was established for the secondary regulation speed control system. Due to the characteristics of time-variability and nonlinearity, a self-adaptive neural fuzzy-PID controller was designed. In the controller, PID control method was used to ensure the accuracy and neural fuzzy control method was used to improve the speed and self-adaptability. Simulations were made by MATLAB fuzzy logic box. By compared with traditional PID controller, the simulation results indicate the self-adaptive neural fuzzy-PID controller has many advantages, such as quick response speed, small overshooting, short transition time and better anti-interference. System with the controller has good dynamic and static quality.

关 键 词：二次调节 转速系统 自适应 神经模糊PID 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]