摘要
分解炉温度控制系统具有非线性、时变、纯滞后的特点,针对传统PID控制及模糊.PID控制难以很好地满足控制要求,提出了一种变论域模糊自适应PID控制方法。利用变论域思想,设计了一种基于函数模型的伸缩因子控制器,动态地调整模糊控制器的量化因子和比例因子,提高了控制精度。在Matlab环境下分别对PID控制、模糊PID控制和变论域模糊PID控制方法进行了仿真对比,结果表明变论域模糊PID控制方法具有更好的动静态性能和自适应能力。
Decomposing furnace control system has the characteristics of nonlinear, time-varying and pure lag. Because traditional PID control and fuzzy PID control are difficult to satisfy the control requirements, a variable universe fuzzy PID control method is proposed. Using the variable universe theory, an expandable and shrinkable factor controller based on the function model is designed. By adjusting dynamically the quantitative factor and proportional factor of fuzzy controller, the control accuracy is improved. PID control, fuzzy PID control and variable universe fuzzy PID control methods are analyzed and compared by using Matlab program, the results show that variable universe fuzzy PID control method has better dynamic and static performance and adaptive capability.
出处
《测控技术》
CSCD
北大核心
2014年第10期72-75,共4页
Measurement & Control Technology
关键词
分解炉温度
变论域
模糊PID
伸缩因子
decomposing furnace temperature
variable universe
fuzzy-PID
expansion factor
