摘要
除氧系统具有多输入、多输出、大滞后、时变性、非线性等一系列特点,除氧器的温度和压力相互影响,是一种强耦合系统,其精确数学模型难以建立。为了达到除氧目的,必须保证温度和压力的恒定,而常规的基于PID算法的控制器很难保证运行指标。提出了一种基于模糊控制理论的设计方法,采用M at-lab对设计的系统进行仿真,结果表明:模糊控制效果优于传统的PID控制。
The deoxidation system with a nonlinear structure is characterized by multi-input multi-output（MIMO） and great time delay. Its temperature and pressure are strongly coupled. For these reasons, it is hard to establish its precise mathematical model. The temperature and pressure must be kept steady to get rid of oxygen in water. But these requirements are almost unreachable when the ordinary PID control scheme is applied. A method of designing based on the fuzzy control theory is presented. At the same time, simulation of control system is also performed to study the performance of fuzzy control by Matlab, simulation result of fuzzy controller shows a very brilliant performance comparing to PID controller.
出处
《传感器与微系统》
CSCD
北大核心
2007年第11期105-107,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60372085)
关键词
除氧系统
模糊控制
解模糊化
仿真
deoxidation system
fuzzy control
defuzzification
simulation
