灰色预测模糊PID控制在调节阀智能定位系统中的应用  

Application of Grey Prediction & Fuzzy PID Control Algorithm in Intelligent Valve Position Control System

作　　者：于薇[1,2] 董全林[1,2] 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,北京100191 [2]微纳测控与低维物理教育部重点实验室,北京100191

出　　处：《液压与气动》2015年第12期39-44,共6页Chinese Hydraulics & Pneumatics

基　　金：国家科技支撑计划(2006BAK03A24)

摘　　要：针对气动调节阀系统大惯性、纯滞后和时变性的特点,建立了调节阀执行机构的二阶加纯滞后模型,在此基础上设计了基于灰色预测模糊PID算法的复合控制器。PID模块作为该复合算法的基础,用来减小系统偏差,提升动态性能;模糊控制模块对系统偏差及其变化率进行模糊处理,输出值作为PID参数的调整量,实现在线调整控制参数,克服时变性对系统的影响;灰色预测模块对系统输出数据序列进行提取并预测未来发展趋势以进行系统的"超前控制",进一步解决气动系统滞后和稳态性能差的问题。基于灰色预测模糊PID算法的复合控制器将灰色预测模型、模糊控制和比例微积分算法相结合,可实现阀门位置的高精度调节与智能控制。仿真结果表明,灰色预测模糊PID控制算法相比常规PID以及模糊PID具有更快的响应速度、更高的调节精度以及更好的稳态性能。Aiming at the large inertia, pure lag and time-varying characteristics of the pneumatic control valve, a second order ＆ time delay model was buih as the system model of the position control actuator. Based on this mod- el, a hybrid controller with the Grey Prediction ＆ Self-Tuning Fuzzy-PID Control Algorithm was designed. As the basis of the control algorithm, the PID part committed to reduce the system deviation and enhance the dynamic per- formance; The fuzzy control part committed to process the system deviation and its change rate. The output of this part is the adjustment of PID parameters. It can realize online adjustment and overcome the influence of time-var- ying on the system ; The grey prediction model committed to extract system output data sequence and forecast future trend, thus realize ＇ anticipatory control＇. It can further solve the problem of lag and poor performance of pneumat- ic system. The compound algorithm combined grey prediction model with fuzzy-PID algorithm. Thus achieve high precision position control of the valve. The simulation result shows that the system can achieve faster response speed, higher control accuracy and better steady-state behavior under this compound algorithm.

关 键 词：气动调节阀 灰色预测 模糊控制 PID算法 智能阀门定位系统 

分 类 号：TH138[机械工程—机械制造及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]