基于AR预测模型的自适应PID控制算法

摘要

针对传统PID控制对大时滞过程控制效果不佳的情况,采用了基于AR模型对被控对象进行预测,用预测结果代替被控对象测量值,克服了大时滞系统控制效果不能及时反馈的不足,并在控制运算中,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.仿真结果表明了预测控制算法响应速度快、鲁棒性强,有较好的适应性.%The traditional PID control for large time-delay effect of poor process control situation, the use of a controlled object based on AR model to predict system behavior, instead of the controlled object with a predicted measurement value, to overcome the effect of large time - delay system control can not lack of timely feedback, and control algorithms, the quadratic performance index along the ' negative gradient direction of the line changes to the weighting factor to achieve the optimal adaptive PID control. Simulation results show that the predictive control algorithm is fast response, robustness, better adaptability.