摘要
针对大滞后系统提出一种基于四阶龙格-库塔预测模型的自适应PID控制算法,该算法是先对系统的状态变量进行步长预测,然后将此预测值代入系统输出方程,求出被控对象的步长测量值,再将该测量值作为反馈值进行PID控制运算。在控制运算中,沿二次型性能指标的负梯度方向对加权系数进行在线修改,实现了自适应PID的优化控制。仿真结果表明该预测控制算法的响应速度快,鲁棒性强,有很强的实用性。
The adaptive PID control algorithm is proposed by fourth-order Runge-Kutta prediction model based on lag system, on which the step prediction of the system variables is firstly carried, and predictive value put into the system out of equation to seek out step measurement of the controlled object, then PID control algorithms as the feedback value of the measured value is calculated. In the process of control algorithms, the negative gradient direction of performance index modified the weighted coefficients on the line to achieve the optimal adaptive PID control. Simulation results show that the predictive control algorithm has the advantages of quick response, strong robust and practical application.
出处
《工业仪表与自动化装置》
2012年第1期3-5,共3页
Industrial Instrumentation & Automation
基金
甘肃省教育厅科研项目资助(00330715-01)
兰州石化职业技术学院科研项目(06-17
k06-08)
